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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. 17335
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    Explanations

    transactions or financial numbers in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    elements related to financial contributions or pledges

    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
    ownt
    -0.77
    ression
    -0.74
    ablishment
    -0.71
    minist
    -0.71
    indal
    -0.69
    warts
    -0.68
    stru
    -0.67
    wart
    -0.66
    eatures
    -0.65
    inder
    -0.65
    POSITIVE LOGITS
     $
    1.95
     âĤ¬
    1.61
     £
    1.60
    $
    1.60
     ¥
    1.56
     $$
    1.39
     Rs
    1.38
     "$
    1.35
    .$
    1.32
    =$
    1.31
    Activations Density 0.122%

    No Known Activations