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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. 4-RES-JB
    11. 1321
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    Explanations

    proper nouns, specifically names of places or people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or proper nouns

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

    No Comments

    Negative Logits
    aciously
    -0.82
    bsp
    -0.75
     Gutenberg
    -0.70
    information
    -0.67
    uous
    -0.66
     debtor
    -0.65
    κ
    -0.64
    ogyn
    -0.64
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.63
     doct
    -0.63
    POSITIVE LOGITS
     Carroll
    1.00
    sburg
    0.91
    mont
    0.86
    ton
    0.85
     Gardens
    0.82
    anut
    0.80
     Shelby
    0.78
    oqu
    0.77
    dale
    0.77
    seed
    0.75
    Activations Density 0.006%

    No Known Activations