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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. 14522
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    Explanations

    phrases related to challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "difficulty" 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
    ta
    -0.74
    gone
    -0.73
    hem
    -0.66
    rams
    -0.66
    norm
    -0.63
    ammad
    -0.63
    collar
    -0.62
    ream
    -0.62
    entin
    -0.62
    rium
    -0.61
    POSITIVE LOGITS
    iculty
    1.53
     difficulty
    1.29
     difficulties
    1.18
    icult
    1.10
     Difficulty
    0.96
    iless
    0.86
    itaire
    0.80
     comprom
    0.79
     experien
    0.77
     overwhelm
    0.76
    Activations Density 0.006%

    No Known Activations