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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. 10-RES-JB
    11. 23320
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    INDEX
    Explanations

    proper noun names with somewhat unique spellings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific institutions, names, or identifiers tied to social class and identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emn
    -0.63
     unden
    -0.56
    amina
    -0.54
    Russ
    -0.51
    match
    -0.51
     VIDE
    -0.50
     Ambrose
    -0.50
    astered
    -0.49
     LOG
    -0.49
    atform
    -0.49
    POSITIVE LOGITS
    depending
    1.49
     depending
    1.40
     whichever
    1.32
     respectively
    1.17
     or
    1.07
     whatsoever
    1.01
    anything
    0.99
     alike
    0.95
    Either
    0.91
     anywhere
    0.91
    Activations Density 0.366%

    No Known Activations