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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. 11843
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    nouns and keywords related to organization and management

    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
    Enlarge
    -0.75
    SIGN
    -0.63
    >>\
    -0.63
    earable
    -0.63
     Lent
    -0.56
    cery
    -0.56
    ashington
    -0.56
    EStreamFrame
    -0.55
    CRE
    -0.54
    iant
    -0.54
    POSITIVE LOGITS
     them
    1.18
     your
    1.00
    ings
    0.97
    lessly
    0.95
     yourselves
    0.95
    ments
    0.92
     their
    0.92
     him
    0.90
     THEM
    0.89
    holders
    0.89
    Activations Density 0.342%

    No Known Activations