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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. 2496
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    oai_token-act-pair · gpt-3.5-turbo
    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
    ndra
    -0.74
    ÅĤ
    -0.69
     reperto
    -0.67
    igers
    -0.67
    resa
    -0.63
    llo
    -0.62
    ttes
    -0.62
    sei
    -0.60
    ãĤ¢ãĥ«
    -0.60
    MENTS
    -0.60
    POSITIVE LOGITS
     incidentally
    1.11
     according
    1.05
     interestingly
    0.94
     alas
    0.94
     unsurprisingly
    0.92
     ironically
    0.92
     sadly
    0.89
     coinc
    0.89
     unfortunately
    0.88
     regrett
    0.88
    Activations Density 0.070%

    No Known Activations