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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. 9-RES-JB
    11. 5957
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific groups or categories of items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.85
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.78
    rior
    -0.73
    za
    -0.73
    Spoiler
    -0.72
    inking
    -0.72
    ographically
    -0.70
    oda
    -0.69
    virt
    -0.69
    tick
    -0.68
    POSITIVE LOGITS
     surveyed
    0.88
     polled
    0.83
     interviewed
    0.76
     cases
    0.75
     questioned
    0.71
     consisted
    0.70
     accounted
    0.68
     individuals
    0.68
     perished
    0.67
     admitted
    0.66
    Activations Density 0.075%

    No Known Activations