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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. 11-RES-JB
    11. 21248
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    Explanations

    phrases indicating importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of being "at stake" or the importance of various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.69
    selves
    -0.64
    mingham
    -0.60
    marine
    -0.60
    aila
    -0.59
    HAM
    -0.57
    ASH
    -0.57
    colo
    -0.57
    hester
    -0.56
    ascript
    -0.55
    POSITIVE LOGITS
     stake
    1.31
     play
    1.01
     hand
    0.99
     odds
    0.91
    onement
    0.89
     work
    0.83
     logger
    0.83
     variance
    0.82
    yp
    0.82
     fault
    0.79
    Activations Density 0.062%

    No Known Activations