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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. 9-RES-JB
    11. 3186
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    INDEX
    Explanations

    action verbs related to customization and adjustment

    oai_token-act-pair · gpt-3.5-turbo

    references to training and unlocking abilities or features in a gaming context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.67
    atre
    -0.65
    pret
    -0.65
    apache
    -0.64
    constitutional
    -0.64
    iatus
    -0.64
     Tracy
    -0.63
    chens
    -0.63
    agall
    -0.63
    iasco
    -0.62
    POSITIVE LOGITS
     predetermined
    1.09
     whichever
    1.07
     accordingly
    1.06
     corresponding
    1.05
    omever
    0.99
     desired
    0.95
     nearby
    0.94
     respective
    0.90
     appropriate
    0.90
     instantly
    0.89
    Activations Density 0.653%

    No Known Activations