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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. 8610
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    INDEX
    Explanations

    prepositions indicating purpose

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "for" indicating purpose or intended audience

    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
    Ag
    -0.66
    BM
    -0.66
    ÃŁ
    -0.65
    Rush
    -0.64
    BP
    -0.63
    aminer
    -0.61
    umar
    -0.61
    Witness
    -0.60
    zona
    -0.59
    mare
    -0.59
    POSITIVE LOGITS
    bidden
    1.37
     sale
    1.27
    ked
    1.17
    gotten
    1.16
    geries
    1.15
    going
    1.06
    gettable
    1.04
     starters
    0.96
    king
    0.91
    gery
    0.91
    Activations Density 0.128%

    No Known Activations