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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. 10-RES-JB
    11. 4454
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    Explanations

    areas or topics of concern or improvement

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pter
    -0.65
    Enough
    -0.64
    CHAT
    -0.63
    areth
    -0.62
    mosp
    -0.61
    tell
    -0.59
    adelphia
    -0.59
    ANCE
    -0.59
    isbury
    -0.59
    ÄŁ
    -0.58
    POSITIVE LOGITS
     areas
    1.07
     where
    1.03
     area
    0.87
     Areas
    0.87
     ripe
    0.86
     of
    0.86
     thereof
    0.83
     covered
    0.74
     wherein
    0.71
     needing
    0.71
    Activations Density 0.087%

    No Known Activations