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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. 5540
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    Explanations

    financial decisions or options

    oai_token-act-pair · gpt-3.5-turbo

    phrases that present options or alternatives

    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
    Ĥª
    -0.72
    udos
    -0.61
    .).
    -0.58
    vironments
    -0.58
    onomy
    -0.57
    ©¶æ¥µ
    -0.57
    almost
    -0.57
    ŃĶ
    -0.56
    nant
    -0.56
    edom
    -0.56
    POSITIVE LOGITS
     or
    1.61
     nor
    1.37
     OR
    0.98
     Or
    0.90
    Or
    0.84
     versus
    0.63
     guiActive
    0.61
     either
    0.59
     outright
    0.59
     etc
    0.59
    Activations Density 0.446%

    No Known Activations