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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. 4-RES-JB
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    Explanations

    mentions of the word "Gard" followed by varying numbers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Gard" and its variations

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

    No Comments

    Negative Logits
    uyomi
    -0.83
    opian
    -0.82
    rities
    -0.82
    pson
    -0.80
    uates
    -0.79
    resents
    -0.72
    acca
    -0.71
    isSpecialOrderable
    -0.70
    BIP
    -0.68
    rition
    -0.66
    POSITIVE LOGITS
     Gard
    0.99
    llan
    0.85
    gard
    0.82
     gard
    0.82
     Mechdragon
    0.81
    endale
    0.80
    aret
    0.79
    ith
    0.78
    yne
    0.78
    inia
    0.75
    Activations Density 0.007%

    No Known Activations