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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. 11-RES-JB
    11. 4855
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    INDEX
    Explanations

    mentions of speed or quick progress

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fast-food entities or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cules
    -0.70
    vironment
    -0.68
    pheus
    -0.66
    izons
    -0.64
     Theatre
    -0.64
    warts
    -0.64
    eryl
    -0.64
    MENTS
    -0.63
    illary
    -0.63
    ignty
    -0.62
    POSITIVE LOGITS
    idious
    1.68
     paced
    1.28
    lane
    1.11
    eners
    1.09
    cgi
    1.00
    ened
    0.99
     asleep
    0.99
    ener
    0.97
    ening
    0.92
     lear
    0.92
    Activations Density 0.035%

    No Known Activations