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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. 4-RES-JB
    11. 7187
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    INDEX
    Explanations

    numerical values mixed with unit labels or text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to routes or paths

    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
    veyard
    -0.95
    vet
    -0.78
    vern
    -0.77
    creen
    -0.73
    forces
    -0.70
    akening
    -0.69
     shape
    -0.66
    ppa
    -0.66
    icago
    -0.65
     hunted
    -0.63
    POSITIVE LOGITS
    nm
    0.83
    625
    0.81
    40
    0.74
    %-
    0.74
    dfx
    0.73
    iary
    0.71
    480
    0.70
    %
    0.70
    345
    0.69
    765
    0.69
    Activations Density 0.046%

    No Known Activations