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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. 3-RES-JB
    11. 4250
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     è£ı
    -0.74
    BIP
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    ãĥĨãĤ£
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    ãĤ®
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    MODE
    -0.66
    ãĥĦ
    -0.65
    terday
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    Bey
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    κ
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    æĸ¹
    -0.63
    POSITIVE LOGITS
    ipper
    1.12
    iff
    1.09
    oser
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    ojure
    1.06
    iffe
    1.04
    avier
    1.02
    amps
    1.01
    osures
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    othes
    1.00
    iffs
    0.99
    Activations Density 0.015%

    No Known Activations