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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. 4-RES-JB
    6. 5484
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    INDEX
    Explanations

    phrases expressing challenges, debates, and decisive situations

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to arguments, issues, and decision-making processes

    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
     Traps
    -0.64
    abella
    -0.60
     fitt
    -0.60
    irie
    -0.60
    ritz
    -0.59
    bats
    -0.59
    ollo
    -0.58
     chambers
    -0.57
     clipboard
    -0.57
    dimension
    -0.56
    POSITIVE LOGITS
     unto
    0.74
     akin
    0.69
     indeed
    0.66
     attRot
    0.66
     nonetheless
    0.65
    uristic
    0.65
     worthy
    0.64
     wedd
    0.64
    "}],"
    0.62
     punishable
    0.62
    Activations Density 0.342%

    No Known Activations