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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. 7495
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    Explanations

    phrases related to evaluation or analysis

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or commentary on societal issues

    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
    ãĢij
    -0.69
     Alas
    -0.62
     eagerly
    -0.60
     Released
    -0.60
    "!
    -0.60
     Scroll
    -0.57
     âī¡
    -0.57
     Pai
    -0.55
     lest
    -0.55
     Mail
    -0.55
    POSITIVE LOGITS
    entimes
    0.99
     gonna
    0.90
     mathemat
    0.89
     everybody
    0.87
    laughs
    0.86
     [
    0.83
     kinda
    0.83
     kind
    0.83
     sort
    0.82
     really
    0.82
    Activations Density 1.650%

    No Known Activations