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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15062
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    INDEX
    Explanations

    statements presenting results or evidence

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements about evidence and results

    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
    emis
    -0.75
    thood
    -0.71
    ciation
    -0.67
     [|
    -0.67
    iage
    -0.67
    anism
    -0.66
    onomous
    -0.66
    isites
    -0.64
    outhern
    -0.64
    vention
    -0.63
    POSITIVE LOGITS
     damning
    1.25
     conclusive
    1.18
     unequiv
    1.13
     anecdotal
    1.09
     incon
    1.03
     alarming
    1.03
     conflicting
    1.00
     startling
    0.96
     reassuring
    0.96
     discouraging
    0.93
    Activations Density 0.150%

    No Known Activations