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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. 14576
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    Explanations

    words related to challenges or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulty or challenges in various contexts

    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
    gap
    -0.73
     Kinnikuman
    -0.71
    otide
    -0.68
    erv
    -0.64
    mental
    -0.63
    EMA
    -0.63
    fet
    -0.62
    early
    -0.62
    orah
    -0.61
    mpeg
    -0.60
    POSITIVE LOGITS
     challenging
    1.16
    enged
    1.02
     challenge
    0.96
     challenged
    0.93
     challenges
    0.90
     challeng
    0.87
    icult
    0.86
     challengers
    0.86
     Chall
    0.84
    chall
    0.77
    Activations Density 0.005%

    No Known Activations