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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. 549
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    INDEX
    Explanations

    words related to specific individuals, such as names of football players

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent athletes

    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
     unfocusedRange
    -0.82
    OGR
    -0.80
     Photographer
    -0.68
     Pluto
    -0.66
     HG
    -0.63
     chromos
    -0.63
    ãĥĥãĥī
    -0.63
    NetMessage
    -0.63
     grains
    -0.63
     Potter
    -0.62
    POSITIVE LOGITS
    bers
    0.87
    stic
    0.83
    kick
    0.82
    inho
    0.81
    orsi
    0.77
     dictatorship
    0.74
    ber
    0.74
    ses
    0.72
    naissance
    0.72
    jriwal
    0.71
    Activations Density 0.034%

    No Known Activations