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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. 753
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    INDEX
    Explanations

    instances where actions are observed or recognized

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "seen"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.85
    Truth
    -0.74
    #$
    -0.68
    Mine
    -0.67
    SOURCE
    -0.66
    ovie
    -0.65
     EDIT
    -0.65
    trap
    -0.63
    uary
    -0.63
    \<
    -0.63
    POSITIVE LOGITS
     firsthand
    1.07
     drastic
    1.03
     improvements
    0.95
     declines
    0.95
    awed
    0.90
    dust
    0.88
     dramatic
    0.87
     gradual
    0.87
     improvement
    0.87
     surges
    0.83
    Activations Density 0.073%

    No Known Activations