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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. 13581
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    INDEX
    Explanations

    mentions of the "real world"

    oai_token-act-pair · gpt-3.5-turbo

    references to reality and its various aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Hub
    -0.79
    DEP
    -0.74
    ãĥīãĥ©
    -0.73
    Ly
    -0.72
    fam
    -0.71
    sbm
    -0.71
    qualified
    -0.71
    wic
    -0.69
    TAG
    -0.69
    ivas
    -0.69
    POSITIVE LOGITS
     fallacy
    0.98
     continuum
    0.93
     onwards
    0.92
     era
    0.89
     finale
    0.86
     realm
    0.82
    âĦ¢:
    0.79
     marketplace
    0.78
     scenario
    0.77
     theorem
    0.76
    Activations Density 0.322%

    No Known Activations