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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. 12356
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    Explanations

    references to physical movement, specifically walking

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "walk" and its derivatives

    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
    cffff
    -0.76
    uliffe
    -0.76
    encies
    -0.75
    milo
    -0.72
    illian
    -0.72
    ional
    -0.71
    ccording
    -0.70
    anyahu
    -0.70
    acists
    -0.68
    ortunately
    -0.68
    POSITIVE LOGITS
    own
    1.03
    through
    0.85
    ingly
    0.84
    ways
    0.83
    Walk
    0.82
    athon
    0.82
    walk
    0.79
    ows
    0.79
     Walk
    0.77
    owicz
    0.76
    Activations Density 0.023%

    No Known Activations