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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. 7-RES-JB
    11. 24202
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    Explanations

    conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that express uncertainty or hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤª
    -0.70
    ãĥŃ
    -0.68
    âĵĺ
    -0.66
    iliar
    -0.63
    %);
    -0.61
    .�
    -0.61
    blind
    -0.60
    ãĥ³ãĤ¸
    -0.60
    女
    -0.58
    eering
    -0.57
    POSITIVE LOGITS
    fy
    1.00
     you
    0.93
    rame
    0.84
    yip
    0.83
     anything
    0.79
    ihad
    0.77
     anybody
    0.75
     unchecked
    0.74
     anyone
    0.74
     somebody
    0.69
    Activations Density 0.097%

    No Known Activations