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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. 4990
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    Explanations

    proper nouns consisting of multiple parts or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    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
    staking
    -0.65
    manship
    -0.59
     VIDE
    -0.57
    Mex
    -0.56
     canv
    -0.56
    nai
    -0.56
    ICAN
    -0.55
     amnesty
    -0.55
    htaking
    -0.54
    rican
    -0.53
    POSITIVE LOGITS
    ven
    1.07
    fts
    1.01
    lde
    0.96
    pper
    0.96
    eker
    0.96
    pps
    0.95
    ettel
    0.94
    ffer
    0.93
    ppe
    0.93
    pp
    0.92
    Activations Density 0.128%

    No Known Activations