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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. 12554
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    Explanations

    movie-specific vocabulary related to genres and production techniques

    oai_token-act-pair · gpt-3.5-turbo

    tokens related to item identification and categorization in various contexts

    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
     Entered
    -0.80
    hern
    -0.72
     Lyme
    -0.59
     spirited
    -0.58
     Grateful
    -0.57
     ter
    -0.57
    iasm
    -0.55
     steam
    -0.55
    obyl
    -0.54
     awoken
    -0.53
    POSITIVE LOGITS
     veter
    0.73
     Polk
    0.61
    retty
    0.60
    Tokens
    0.58
    rants
    0.58
    paren
    0.57
    ¶æ
    0.57
     rall
    0.56
     Aure
    0.55
    arten
    0.55
    Activations Density 1.779%

    No Known Activations