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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. 1-RES-JB
    6. 6008
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    INDEX
    Explanations

    references to news headlines and public statements

    oai_token-act-pair · gpt-3.5-turbo

    significant events and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.78
    ĵĺ
    -0.64
    ĺħ
    -0.56
    ADRA
    -0.51
    rencies
    -0.48
     fixme
    -0.47
    azines
    -0.47
    */(
    -0.47
    theless
    -0.46
     Converted
    -0.46
    POSITIVE LOGITS
    icter
    0.69
    ieth
    0.63
    iest
    0.59
    iets
    0.54
    liest
    0.54
     slate
    0.52
     portion
    0.52
    Versions
    0.51
    liner
    0.51
    hest
    0.51
    Activations Density 7.524%

    No Known Activations