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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. 21643
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    INDEX
    Explanations

    terms related to a specific standard or norm

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "standard" across various contexts

    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
    lez
    -0.78
    cig
    -0.75
    Stars
    -0.73
    resent
    -0.69
    acan
    -0.67
    Lens
    -0.64
    der
    -0.64
     destro
    -0.63
    les
    -0.63
    rak
    -0.63
    POSITIVE LOGITS
     deviation
    1.53
     deviations
    1.41
     bearer
    1.16
    ised
    1.06
    ization
    0.95
    arily
    0.92
    isation
    0.91
    izes
    0.82
    é¾įå¥ij士
    0.80
    izations
    0.78
    Activations Density 0.017%

    No Known Activations