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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. 6-RES-JB
    11. 798
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    Explanations

    mentions of the word "cinema" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to cinema and film

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -0.74
    lies
    -0.74
    nesses
    -0.70
    ually
    -0.68
    laus
    -0.68
     Mormon
    -0.67
    essee
    -0.66
    itudinal
    -0.65
    lynn
    -0.65
    iang
    -0.65
    POSITIVE LOGITS
    ovies
    0.96
     cinem
    0.91
    goers
    0.88
    atography
    0.82
     theaters
    0.79
     cinema
    0.79
     theat
    0.78
    creen
    0.77
     projector
    0.77
     Atmosp
    0.74
    Activations Density 0.041%

    No Known Activations