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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. 6-RES-JB
    11. 324
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    INDEX
    Explanations

    the word "standard" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to standardized measurements or definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.84
    acan
    -0.77
    cig
    -0.74
    resent
    -0.69
     destro
    -0.69
     Psychiat
    -0.69
    shit
    -0.67
    Stars
    -0.65
    cohol
    -0.62
    SEE
    -0.61
    POSITIVE LOGITS
     deviation
    1.55
     deviations
    1.44
     bearer
    1.28
    ised
    1.09
    ization
    1.03
    isation
    0.95
    izes
    0.88
    arily
    0.88
    izations
    0.84
     deduction
    0.82
    Activations Density 0.018%

    No Known Activations