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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. 3421
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    Explanations

    mentions of sports teams or groups of people in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "squad."

    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
    Downloadha
    -0.77
    £ı
    -0.75
    orgetown
    -0.75
    pport
    -0.74
    pire
    -0.72
    orno
    -0.69
    vernment
    -0.69
    Cart
    -0.69
    utenberg
    -0.68
    ocent
    -0.68
    POSITIVE LOGITS
    rons
    1.46
    mates
    1.14
     mates
    1.06
     squads
    0.91
     squad
    0.85
    mate
    0.84
    members
    0.82
     uniforms
    0.81
     rosters
    0.81
     rookies
    0.79
    Activations Density 0.011%

    No Known Activations