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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. 2-RES-JB
    11. 6102
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    Explanations

    words related to mistakes, errors, or failures

    oai_token-act-pair · gpt-3.5-turbo

    expressions of mistakes or negative outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icipated
    -0.80
    á
    -0.80
    vation
    -0.79
    porting
    -0.78
    iterator
    -0.77
    illin
    -0.77
    åī
    -0.76
    Footnote
    -0.76
    rouse
    -0.72
    izen
    -0.71
    POSITIVE LOGITS
     screwed
    1.08
     messed
    0.98
     fucked
    0.88
    romeda
    0.80
     unnecess
    0.77
     mess
    0.73
    uled
    0.72
     horribly
    0.71
     crooked
    0.70
     catast
    0.67
    Activations Density 0.018%

    No Known Activations