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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. 7-RES-JB
    11. 6374
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    Explanations

    phrases indicating exceptions or additional information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating exceptions or qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANS
    -1.00
    window
    -0.80
    accompan
    -0.76
     Cosponsors
    -0.73
    ans
    -0.72
    anu
    -0.71
    ahead
    -0.71
    DOWN
    -0.69
    iland
    -0.69
    anners
    -0.68
    POSITIVE LOGITS
     those
    0.76
     occasional
    0.74
     superficial
    0.70
     providing
    0.68
     anecdotal
    0.67
     being
    0.67
     its
    0.67
     sheer
    0.64
     sporadic
    0.64
     matters
    0.63
    Activations Density 0.044%

    No Known Activations