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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. 10-RES-JB
    11. 13870
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    Explanations

    large monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocamp
    -0.61
    igators
    -0.61
     Newport
    -0.60
     {*
    -0.59
     Wid
    -0.56
    akeru
    -0.55
    lines
    -0.55
     Cod
    -0.54
     Sorce
    -0.53
    scenes
    -0.53
    POSITIVE LOGITS
     million
    1.09
    million
    1.07
    billion
    1.05
     billion
    1.04
    200
    1.01
    -$
    1.01
     MILL
    0.97
    34
    0.97
    37
    0.95
    38
    0.93
    Activations Density 0.057%

    No Known Activations