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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. 527
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    INDEX
    Explanations

    references to potential opportunities or risks

    oai_token-act-pair · gpt-3.5-turbo

    discussions about potential future scenarios or forecasts

    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
    cipl
    -0.67
    pee
    -0.67
    ogie
    -0.62
    lap
    -0.62
    Favorite
    -0.60
    vard
    -0.59
    ped
    -0.59
    dos
    -0.59
    semble
    -0.59
    andise
    -0.58
    POSITIVE LOGITS
    ively
    0.97
     prospects
    0.87
    icons
    0.80
    iful
    0.79
    uses
    0.79
    ures
    0.79
    eers
    0.78
     horizon
    0.77
     prospect
    0.76
    uring
    0.76
    Activations Density 0.022%

    No Known Activations