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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. 10-RES-JB
    11. 1283
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    Explanations

    words related to challenges, difficulties, or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the difficulty or ease of accomplishing tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notations
    -0.58
     Difference
    -0.57
    Kings
    -0.57
     Warcraft
    -0.54
    ilo
    -0.54
    leigh
    -0.53
    Originally
    -0.53
    Blu
    -0.52
    wine
    -0.52
    mentioned
    -0.52
    POSITIVE LOGITS
     to
    0.86
     for
    0.84
     prey
    0.68
    ible
    0.62
    for
    0.60
    ifiable
    0.59
    ioned
    0.58
    IBLE
    0.57
    achable
    0.57
    ractive
    0.56
    Activations Density 0.083%

    No Known Activations