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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. 11-RES-JB
    11. 24094
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    Explanations

    the ASCII symbols representing specific meanings or instructions within the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases or symbols that represent emotional or moral judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wedge
    -0.67
     jelly
    -0.66
     scram
    -0.62
     Negro
    -0.60
     superpower
    -0.60
     unidentified
    -0.59
     navy
    -0.59
     envelope
    -0.59
    lder
    -0.58
     blues
    -0.58
    POSITIVE LOGITS
    ï¸ı
    1.05
    which
    0.96
    âĢł
    0.95
    while
    0.95
    âģ
    0.94
    ï¸
    0.92
    because
    0.90
    according
    0.90
     namely
    0.90
    ¯
    0.89
    Activations Density 0.133%

    No Known Activations