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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. 20237
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    INDEX
    Explanations

    phrases prompting for opinions or feedback

    oai_token-act-pair · gpt-3.5-turbo

    expressions of curiosity or requests for feedback from the audience

    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
     Responsibility
    -0.74
    AFTA
    -0.68
    arget
    -0.61
     Fundamental
    -0.61
     relinqu
    -0.58
    abad
    -0.58
    cknow
    -0.58
    amera
    -0.58
    geoning
    -0.57
    parent
    -0.57
    POSITIVE LOGITS
     fuss
    0.88
     wrought
    0.71
    amorph
    0.68
     gonna
    0.64
    acci
    0.64
     entail
    0.63
     accomplished
    0.62
    atto
    0.61
     throws
    0.60
     perm
    0.59
    Activations Density 0.198%

    No Known Activations