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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. 1-RES-JB
    11. 2260
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    Explanations

    words related to physical entities or objects, especially those related to insects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ants"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tx
    -0.84
     Raleigh
    -0.70
    TOR
    -0.68
     Sierra
    -0.66
     watershed
    -0.65
    RW
    -0.65
     âī¡
    -0.64
    ãĤ¨ãĥ«
    -0.64
    RFC
    -0.63
     Territories
    -0.63
    POSITIVE LOGITS
    ants
    1.16
    terday
    1.06
    ucker
    1.03
    mith
    0.97
    hips
    0.95
    NetMessage
    0.91
    linger
    0.88
    poons
    0.84
    anamo
    0.83
    ongs
    0.83
    Activations Density 0.007%

    No Known Activations