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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. 162
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    Explanations

    words related to selections and choices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to selection or choosing

    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
    Net
    -0.77
    pir
    -0.76
    HUD
    -0.70
    emic
    -0.69
    pat
    -0.65
    struct
    -0.65
    front
    -0.64
    TPS
    -0.63
    alone
    -0.63
    qv
    -0.62
    POSITIVE LOGITS
     randomly
    0.89
     chosen
    0.84
     Selection
    0.81
     Parenthood
    0.74
     selection
    0.74
     selected
    0.73
    lists
    0.72
    picked
    0.70
    selection
    0.69
     selections
    0.69
    Activations Density 0.021%

    No Known Activations