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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. 935
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    Explanations

    numerical codes or references within a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "TI"

    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
    wagen
    -0.87
    esville
    -0.79
    detail
    -0.79
    alter
    -0.78
    creen
    -0.72
    es
    -0.69
     mileage
    -0.66
    horse
    -0.66
    */(
    -0.65
    ãĤ·
    -0.64
    POSITIVE LOGITS
    TI
    1.08
    PS
    0.96
     TI
    0.89
    OTAL
    0.85
    pling
    0.84
    plom
    0.84
    enza
    0.83
    pping
    0.83
    pered
    0.82
    pler
    0.81
    Activations Density 0.010%

    No Known Activations