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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. 6633
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    Explanations

    phrases related to providing feedback or input

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "feed" and related concepts

    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
    istically
    -0.80
    isms
    -0.68
     tallest
    -0.65
    pp
    -0.63
     Beach
    -0.62
     exorc
    -0.62
    iami
    -0.62
    itars
    -0.61
    assic
    -0.61
    ismo
    -0.61
    POSITIVE LOGITS
    parser
    0.99
    stocks
    0.98
    fed
    0.96
     feeds
    0.95
     fed
    0.93
     frenzy
    0.92
    feed
    0.92
    forward
    0.90
     trough
    0.88
    oras
    0.87
    Activations Density 0.043%

    No Known Activations