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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. 13282
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    Explanations

    references to things that occur at regular intervals or frequencies

    oai_token-act-pair · gpt-3.5-turbo

    the term "regular" in various contexts

    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
    artisan
    -0.76
    uden
    -0.71
    kamp
    -0.69
    lda
    -0.69
    Sov
    -0.68
    ï¸ı
    -0.66
    owitz
    -0.66
    asus
    -0.65
    bern
    -0.64
    asonic
    -0.63
    POSITIVE LOGITS
    ity
    1.34
    ization
    1.03
     occurrence
    1.01
    ities
    1.01
    ised
    1.01
    izing
    1.00
     intervals
    1.00
    isation
    1.00
    ITY
    0.95
     ol
    0.93
    Activations Density 0.038%

    No Known Activations