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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. 1-RES-JB
    11. 3466
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    INDEX
    Explanations

    adjectives characterizing something as challenging or difficult

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atern
    -0.79
    ATURE
    -0.79
    uality
    -0.78
    oscope
    -0.78
    ateur
    -0.77
    Footnote
    -0.76
    utions
    -0.75
    ĺħ
    -0.72
    ience
    -0.72
    ribute
    -0.72
    POSITIVE LOGITS
     tough
    1.09
     adolesc
    0.96
     toughest
    0.91
     tougher
    0.89
     hitters
    0.82
     cookie
    0.80
     enough
    0.79
     hurdles
    0.78
     conflic
    0.77
     obstacles
    0.77
    Activations Density 0.009%

    No Known Activations