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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. 7198
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    Explanations

    examples of the word "plenty"

    oai_token-act-pair · gpt-3.5-turbo
    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
    abad
    -0.72
    ensis
    -0.66
    utenberg
    -0.65
    gary
    -0.65
    anwhile
    -0.64
    into
    -0.63
    estamp
    -0.62
     sole
    -0.62
    gang
    -0.62
    iments
    -0.62
    POSITIVE LOGITS
     thereof
    0.75
     of
    0.72
    ¶ħ
    0.71
    poons
    0.67
    entimes
    0.67
     Scroll
    0.66
     nerv
    0.65
     deserving
    0.64
    zin
    0.63
     else
    0.63
    Activations Density 0.021%

    No Known Activations