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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. 4-RES-JB
    11. 20866
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    Explanations

    mentions of individuals in various professions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

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

    No Comments

    Negative Logits
    Contents
    -0.86
    Background
    -0.74
    SIGN
    -0.73
    ifax
    -0.71
    external
    -0.69
    rats
    -0.67
    evidence
    -0.66
    End
    -0.65
    eye
    -0.65
    encies
    -0.63
    POSITIVE LOGITS
     longtime
    0.86
     prominent
    0.81
     descendant
    0.78
     spokesperson
    0.78
     spokeswoman
    0.75
     spokesman
    0.75
     retired
    0.75
     former
    0.75
     successor
    0.74
     member
    0.72
    Activations Density 0.141%

    No Known Activations