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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. 6294
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    INDEX
    Explanations

    phrases indicating tendencies or behaviors related to specific groups or categories

    oai_token-act-pair · gpt-3.5-turbo

    the tendency of various subjects to exhibit certain behaviors or characteristics

    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
    bats
    -0.83
    yet
    -0.80
    hello
    -0.72
    ãĤ¦ãĤ¹
    -0.72
    door
    -0.72
    Ready
    -0.69
    rets
    -0.69
    cle
    -0.69
    opens
    -0.68
    ART
    -0.67
    POSITIVE LOGITS
     underestimate
    1.31
     prioritize
    1.21
     overest
    1.19
     accumulate
    1.16
     prefer
    1.15
     emphasize
    1.13
     exagger
    1.11
     grav
    1.09
     favor
    1.08
     behave
    1.07
    Activations Density 0.125%

    No Known Activations