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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. 24178
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    INDEX
    Explanations

    proper nouns containing "vi", like "Smollett" and "Viations"

    oai_token-act-pair · gpt-3.5-turbo

    references to media or reporting sources related to news or journalism

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ĭ
    -0.82
     1943
    -0.73
     Jason
    -0.73
     Fifth
    -0.70
     respondent
    -0.67
    Fif
    -0.66
     STAR
    -0.66
     Passage
    -0.66
     encount
    -0.65
     Acqu
    -0.65
    POSITIVE LOGITS
    ol
    1.36
    ols
    1.28
    OL
    1.18
    olk
    1.10
    rol
    1.10
    olia
    1.08
    olo
    1.05
    ulin
    1.04
    oli
    1.04
    olin
    1.02
    Activations Density 0.254%

    No Known Activations