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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. 2524
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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
     Gamble
    -0.69
     eleph
    -0.58
    rison
    -0.58
    orp
    -0.55
    aucus
    -0.54
    alion
    -0.54
    HAM
    -0.54
    NESS
    -0.53
    raq
    -0.53
     groom
    -0.53
    POSITIVE LOGITS
     the
    0.78
    Õ
    0.75
    the
    0.75
    ÑĮ
    0.65
    rontal
    0.63
     Corpus
    0.60
    olean
    0.59
    cum
    0.59
    ublic
    0.59
    flow
    0.58
    Activations Density 0.122%

    No Known Activations