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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. 16487
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    Explanations

    numbers representing counts or frequencies

    oai_token-act-pair · gpt-3.5-turbo

    large numerical values and their frequencies

    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
    ORN
    -0.84
    UGE
    -0.68
    DragonMagazine
    -0.59
     inexper
    -0.58
     shortage
    -0.55
    hift
    -0.55
    culation
    -0.55
     stature
    -0.55
     speculation
    -0.54
    adium
    -0.54
    POSITIVE LOGITS
     times
    1.24
    orously
    0.99
    fold
    0.97
    ously
    0.97
    times
    0.94
    heartedly
    0.94
    rarily
    0.84
    aciously
    0.84
    isively
    0.84
    ingly
    0.83
    Activations Density 0.283%

    No Known Activations