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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. 5252
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    Explanations

    numbers presented in written form

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to amounts or periods of time

    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
     Caption
    -0.67
    olate
    -0.63
     Strait
    -0.63
    onductor
    -0.62
    olin
    -0.61
    Released
    -0.60
    £ı
    -0.58
     Edited
    -0.58
     Hilbert
    -0.58
    ufact
    -0.58
    POSITIVE LOGITS
     bucks
    1.07
     trillion
    0.99
     thousand
    0.99
    yrs
    0.97
    ths
    0.96
    +)
    0.96
     thous
    0.96
     cents
    0.95
     or
    0.95
    +
    0.95
    Activations Density 0.355%

    No Known Activations