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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. 6058
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    Explanations

    references to legal matters and actions

    oai_token-act-pair · gpt-3.5-turbo

    names of companies and prominent individuals involved in legal and business contexts

    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
    STEM
    -0.80
    uncture
    -0.72
    isible
    -0.71
    ::::::::
    -0.71
    ennial
    -0.69
    emouth
    -0.67
    issance
    -0.64
    NetMessage
    -0.64
    emonic
    -0.63
    thora
    -0.63
    POSITIVE LOGITS
     reportedly
    1.42
     denies
    1.25
     subsequently
    1.25
     claimed
    1.23
     blamed
    1.23
     denied
    1.15
     responded
    1.12
     cited
    1.10
     apparently
    1.10
     therefore
    1.07
    Activations Density 0.727%

    No Known Activations