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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
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    Explanations

    titles of movies

    oai_token-act-pair · gpt-3.5-turbo

    titles and names of films, specifically focusing on notable movie names and franchises

    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
    iscal
    -0.85
    alysed
    -0.80
    erity
    -0.73
    processing
    -0.72
     wiser
    -0.70
    />
    -0.69
    autions
    -0.69
    ellen
    -0.67
     fibre
    -0.66
    ptoms
    -0.66
    POSITIVE LOGITS
     Voy
    0.86
     Tempest
    0.84
     Vol
    0.84
     Conan
    0.83
     Dusk
    0.82
     Pablo
    0.82
     Hust
    0.81
     Comedy
    0.81
     Symphony
    0.80
     Nebula
    0.80
    Activations Density 0.290%

    No Known Activations