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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. 7-RES-JB
    11. 1948
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    INDEX
    Explanations

    quantitative data, such as percentages or numbers

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values related to demographic percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Activity
    -0.69
    rawdownloadcloneembedreportprint
    -0.63
     Syndicate
    -0.63
     behalf
    -0.60
     Collider
    -0.59
    ovie
    -0.59
    igslist
    -0.58
    igion
    -0.58
     basket
    -0.58
    Bank
    -0.56
    POSITIVE LOGITS
    eteen
    1.17
    Eight
    1.11
     thousand
    1.06
    eight
    1.02
    irteen
    0.98
    eenth
    0.97
    fif
    0.94
    teen
    0.94
    seven
    0.93
     Thousand
    0.92
    Activations Density 0.021%

    No Known Activations