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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. 3503
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    Explanations

    text related to specific items or objects that might be needed for different scenarios or tasks

    oai_token-act-pair · gpt-3.5-turbo

    items related to emergency preparedness

    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
     Entered
    -0.79
     Pag
    -0.65
    icter
    -0.61
     Epstein
    -0.58
     Musk
    -0.56
    arty
    -0.56
     rab
    -0.55
    bill
    -0.54
    vik
    -0.53
     Gutenberg
    -0.53
    POSITIVE LOGITS
     itself
    0.71
     alike
    0.68
     ABV
    0.65
    Ô
    0.65
    rect
    0.62
     respectively
    0.61
    orea
    0.60
    IDENT
    0.60
    REP
    0.59
    unc
    0.58
    Activations Density 1.087%

    No Known Activations