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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. 8-RES-JB
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    Explanations

    mentions of box office performance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of box office performance and gross earnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oss
    -0.76
     biom
    -0.74
    onomous
    -0.72
     Rails
    -0.68
     Flask
    -0.68
     Hast
    -0.65
     CoC
    -0.65
     Fedora
    -0.65
    Hat
    -0.65
     Meditation
    -0.63
    POSITIVE LOGITS
     domestically
    1.08
     theaters
    0.98
    ivals
    0.98
     sequels
    0.92
    advertising
    0.87
    genre
    0.86
     blockbuster
    0.86
    ovies
    0.84
    writer
    0.83
     debut
    0.83
    Activations Density 0.175%

    No Known Activations