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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. 7-RES-JB
    11. 20017
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    INDEX
    Explanations

    code-related strings such as function names, variable assignments, and console logs

    oai_token-act-pair · gpt-3.5-turbo

    periods and colons in programming-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     TAMADRA
    -0.75
    Bey
    -0.66
    onga
    -0.65
    enda
    -0.62
     salty
    -0.62
     calves
    -0.62
    reth
    -0.61
     posing
    -0.60
     rigs
    -0.60
     scoop
    -0.59
    POSITIVE LOGITS
    std
    0.91
    ItemTracker
    0.90
    apache
    0.87
    dll
    0.85
    exe
    0.84
    local
    0.83
    path
    0.83
    github
    0.83
    google
    0.82
    files
    0.80
    Activations Density 0.052%

    No Known Activations