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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. 24345
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    Explanations

    references to press conferences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of press conferences

    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
    BuyableInstoreAndOnline
    -0.85
    inho
    -0.75
     Salvador
    -0.71
    abama
    -0.68
    *=-
    -0.67
     Bram
    -0.65
     Parenthood
    -0.64
    ston
    -0.63
     Reconstruction
    -0.61
     Tec
    -0.61
    POSITIVE LOGITS
    urized
    1.00
    conference
    0.95
     conference
    0.95
     corps
    0.94
     Coverage
    0.86
     conferences
    0.85
    room
    0.85
    icter
    0.85
    ariat
    0.83
    press
    0.81
    Activations Density 0.026%

    No Known Activations