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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. 11331
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    Explanations

    measurements related to length

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements and specifications related to size and geometry

    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
    udeb
    -0.84
    \\\\\\\\
    -0.80
     Wein
    -0.71
    Pir
    -0.71
    imir
    -0.69
    ERY
    -0.68
    zig
    -0.67
    lishes
    -0.66
    ILLE
    -0.65
    oki
    -0.64
    POSITIVE LOGITS
     increments
    0.78
     sized
    0.78
    wise
    0.76
     apiece
    0.72
    morph
    0.72
     diameter
    0.71
     onwards
    0.70
    gap
    0.69
    naire
    0.68
     (~
    0.67
    Activations Density 0.099%

    No Known Activations