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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. 8-RES-JB
    11. 8260
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    Explanations

    keywords related to legislative acts, bills, and laws

    oai_token-act-pair · gpt-3.5-turbo

    the verb "was" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.79
    Footnote
    -0.64
     HAVE
    -0.63
    olon
    -0.63
    .;
    -0.61
     Fighters
    -0.60
    Surv
    -0.60
    know
    -0.59
    got
    -0.59
    TY
    -0.59
    POSITIVE LOGITS
     originally
    1.38
     initially
    1.07
     previously
    1.06
     born
    1.05
     conceived
    1.04
     formerly
    0.99
     discovered
    0.99
     flagged
    0.98
     supposed
    0.98
     billed
    0.96
    Activations Density 0.293%

    No Known Activations