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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. 4-RES-JB
    11. 13625
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    INDEX
    Explanations

    mentions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    textual elements related to numbers or quantities

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

    No Comments

    Negative Logits
     commission
    -0.72
     regeneration
    -0.71
     overpower
    -0.67
     commissions
    -0.66
     orchestr
    -0.65
     streaming
    -0.63
     lifes
    -0.63
     engineering
    -0.62
     regener
    -0.61
     brid
    -0.61
    POSITIVE LOGITS
    Advertisements
    1.13
    References
    1.11
    ccording
    1.10
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    1.09
    ----------------------------------------------------------------
    1.08
    --------------------------------
    1.07
    Read
    1.07
    Comment
    1.05
    If
    1.05
    Advertisement
    1.04
    Activations Density 0.601%

    No Known Activations