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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 6781
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    Explanations

    words related to calculations or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with calculation and measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Blaz
    -0.80
     Lans
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     Rule
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     Sheen
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    CHAT
    -0.65
     Candy
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     ISO
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     Bever
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    POSITIVE LOGITS
    cul
    1.15
    ately
    1.13
    ision
    1.05
    ators
    1.03
    uable
    1.03
    iar
    1.02
    ator
    1.01
    atures
    1.01
    iosity
    0.99
    culation
    0.97
    Activations Density 0.010%

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