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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. 23193
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    Explanations

    phrases related to estimating or stating information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to estimates and opinions

    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
    natureconservancy
    -0.87
    luaj
    -0.72
    pins
    -0.68
     Virtue
    -0.67
    btn
    -0.65
    joined
    -0.65
    iddler
    -0.64
    dies
    -0.64
    LOS
    -0.63
    chev
    -0.63
    POSITIVE LOGITS
     informational
    1.05
     subjective
    1.03
     provisional
    1.01
     preliminary
    0.99
     unofficial
    0.98
     conjecture
    0.98
     anecdotal
    0.97
     guideline
    0.96
     Actual
    0.95
     tentative
    0.95
    Activations Density 0.405%

    No Known Activations