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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. 7-RES-JB
    11. 14435
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    Explanations

    phrases expressing thoughts, observations or actions that cannot be avoided or prevented

    oai_token-act-pair · gpt-3.5-turbo

    expressions of inability to resist certain actions or feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itars
    -0.71
    ighth
    -0.71
    eday
    -0.70
     ransom
    -0.67
    edom
    -0.67
    byn
    -0.66
     Forestry
    -0.63
    ebook
    -0.63
    Sov
    -0.63
    gow
    -0.63
    POSITIVE LOGITS
     grin
    0.76
     feeling
    0.75
     smiles
    0.69
    anguages
    0.68
     remind
    0.67
    laughs
    0.67
     emotions
    0.66
     feel
    0.66
     smile
    0.66
     irritation
    0.66
    Activations Density 0.102%

    No Known Activations