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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
    11. 24071
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    Explanations

    dates in the format day-month-year followed by numbers indicating rankings or counts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 31 in various contexts

    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
    atis
    -0.93
    akespe
    -0.85
    atics
    -0.83
    ramid
    -0.83
    redit
    -0.77
    abwe
    -0.76
    retched
    -0.75
    akens
    -0.75
    fare
    -0.73
    ĸļ
    -0.71
    POSITIVE LOGITS
    00
    0.83
    st
    0.80
    vier
    0.79
    ¯¯
    0.73
    50
    0.71
    rd
    0.71
     msec
    0.70
    ¯¯¯¯
    0.70
    803
    0.69
    nm
    0.68
    Activations Density 0.016%

    No Known Activations