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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. 11-RES-JB
    11. 1680
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    INDEX
    Explanations

    periods followed by high arousal phrases

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     confir
    -0.94
     notor
    -0.94
     advis
    -0.92
     volunte
    -0.92
     carbohyd
    -0.92
    urances
    -0.90
     satell
    -0.90
     pocket
    -0.85
     gobl
    -0.85
     administ
    -0.84
    POSITIVE LOGITS
     Whereas
    1.30
     Nietzsche
    1.25
     Drawing
    1.25
     Readers
    1.20
     Rather
    1.18
     Yet
    1.16
     Freud
    1.16
     Indeed
    1.15
     Hegel
    1.15
     Such
    1.14
    Activations Density 0.351%

    No Known Activations