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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. 9-RES-JB
    11. 22906
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    INDEX
    Explanations

    specific prepositions and short phrases containing common words

    oai_token-act-pair · gpt-3.5-turbo

    locations or conditions indicated by the word "at" followed by various degrees or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bender
    -0.74
    advertising
    -0.71
    Roy
    -0.69
    Berry
    -0.68
    bish
    -0.65
    Reports
    -0.63
    hunt
    -0.61
    Fed
    -0.59
    bc
    -0.59
    birds
    -0.59
    POSITIVE LOGITS
     least
    1.06
     distances
    0.96
    mosp
    0.94
     intervals
    0.90
    las
    0.88
    onement
    0.87
    ractive
    0.87
     runtime
    0.86
    omic
    0.86
     maturity
    0.86
    Activations Density 0.160%

    No Known Activations