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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. 5823
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    Explanations

    phrases indicating actions or decisions that involve taking a step or addressing a challenge

    oai_token-act-pair · gpt-3.5-turbo

    mentions of challenges or tasks that involve taking risks or making mistakes

    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
    aples
    -0.70
    vae
    -0.67
     wills
    -0.63
     Patterns
    -0.61
    ertain
    -0.60
    rongh
    -0.59
    soever
    -0.58
    ternity
    -0.57
    oded
    -0.57
    cedes
    -0.57
    POSITIVE LOGITS
     of
    1.04
     OF
    0.82
    of
    0.81
    OF
    0.79
    Of
    0.71
    onym
    0.69
     Of
    0.69
    ·
    0.67
     thereof
    0.67
    forts
    0.66
    Activations Density 0.183%

    No Known Activations