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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. 9-RES-JB
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    Explanations

    movie-related terms and references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "movie"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilities
    -0.83
    sembly
    -0.78
    odox
    -0.73
    withstanding
    -0.71
    tnc
    -0.71
     Haitian
    -0.69
    attled
    -0.68
    illin
    -0.67
    vic
    -0.67
    assi
    -0.66
    POSITIVE LOGITS
     theater
    1.28
    goers
    1.20
     theatre
    1.19
     theaters
    1.15
    going
    1.01
     theat
    1.00
     premie
    1.00
     trilogy
    0.92
     movies
    0.90
     movie
    0.88
    Activations Density 0.061%

    No Known Activations