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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. 23596
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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
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    Negative Logits
     redu
    -0.77
     pens
    -0.73
     orn
    -0.71
     equivalents
    -0.69
    quished
    -0.68
     Orn
    -0.68
     regression
    -0.67
     ris
    -0.65
    edIn
    -0.64
     battles
    -0.64
    POSITIVE LOGITS
    sic
    1.53
    ?]
    1.28
    laughs
    1.23
    emphasis
    1.21
    !]
    1.18
    %]
    1.04
     edit
    1.03
    RFC
    1.02
    email
    1.01
    Laughs
    1.01
    Activations Density 0.051%

    No Known Activations