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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. 12436
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    Explanations

    names or terms related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of characters or entities, particularly those with notable significance

    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
     Palestin
    -0.73
    ãģĤ
    -0.72
     Rudd
    -0.69
    cery
    -0.68
    ortium
    -0.68
     Petr
    -0.68
    Reviewer
    -0.68
    ative
    -0.67
    atively
    -0.67
    utics
    -0.67
    POSITIVE LOGITS
    tz
    0.92
    oning
    0.79
    oned
    0.79
    ysis
    0.78
    ippers
    0.77
    ONES
    0.75
    hao
    0.74
     peg
    0.71
    ti
    0.71
    weet
    0.70
    Activations Density 0.020%

    No Known Activations