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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. 23583
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    INDEX
    Explanations

    pronouns followed by phrases indicating success or resilience in the face of challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or subject

    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
     Wendy
    -0.71
     Straw
    -0.70
     Prohibition
    -0.67
     Dew
    -0.66
     Dominion
    -0.66
     Nost
    -0.66
     Orwell
    -0.64
     Millennium
    -0.63
     censorship
    -0.62
     Columb
    -0.62
    POSITIVE LOGITS
    'll
    1.34
    'd
    1.10
     hasn
    1.05
     deserves
    1.03
    zbollah
    1.01
     scored
    0.99
     earns
    0.99
     plays
    0.96
    ffield
    0.95
     knows
    0.95
    Activations Density 0.205%

    No Known Activations