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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. 8-RES-JB
    11. 24189
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    INDEX
    Explanations

    numbers associated with a specific quantity

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to quantities and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geist
    -0.70
    asta
    -0.68
    HY
    -0.67
    ACTION
    -0.66
    ARP
    -0.66
    TM
    -0.65
    helps
    -0.65
    /_
    -0.65
    vantage
    -0.63
    ullivan
    -0.63
    POSITIVE LOGITS
    teenth
    1.79
    teen
    1.72
    fold
    1.44
     hundred
    1.40
    eenth
    1.39
    een
    1.36
     thousand
    1.28
    aciously
    1.13
    acious
    1.10
    ieth
    1.10
    Activations Density 0.146%

    No Known Activations