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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. 8-RES-JB
    11. 8397
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    INDEX
    Explanations

    proper nouns and names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals, particularly in relation to notable actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Balt
    -0.65
     licences
    -0.53
    ibaba
    -0.52
    imet
    -0.49
    operator
    -0.49
    urances
    -0.49
    mares
    -0.49
    vals
    -0.49
    fax
    -0.48
    Leaks
    -0.48
    POSITIVE LOGITS
     (),
    0.59
     (@
    0.56
     EntityItem
    0.55
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.53
    .</
    0.52
     (#
    0.51
     ¯
    0.51
     ALSO
    0.50
     moreover
    0.50
     similarly
    0.50
    Activations Density 2.428%

    No Known Activations