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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. 2-RES-JB
    11. 23446
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1982

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ledged
    -0.80
    rophe
    -0.79
    ysical
    -0.78
    awed
    -0.77
    ramid
    -0.75
    raltar
    -0.74
    otle
    -0.73
    anooga
    -0.71
    rotein
    -0.71
    amaru
    -0.69
    POSITIVE LOGITS
    nd
    1.45
    80
    0.87
    160
    0.83
    186
    0.81
    naire
    0.79
    181
    0.78
    502
    0.78
    ND
    0.77
    803
    0.76
    entary
    0.76
    Activations Density 0.051%

    No Known Activations