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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. 11-RES-JB
    11. 11980
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    INDEX
    Explanations

    names or references to characters or people in movie scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scenes or elements in movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resy
    -0.86
    exempt
    -0.74
    raft
    -0.71
    profits
    -0.70
    soType
    -0.67
    Pub
    -0.66
    League
    -0.66
    profit
    -0.65
    arger
    -0.64
    anguages
    -0.64
    POSITIVE LOGITS
     narrator
    1.30
     protagonist
    1.24
     flashbacks
    1.20
     flashback
    1.13
     narration
    1.10
    Characters
    1.03
     scenes
    0.99
     Scenes
    0.99
     Cue
    0.98
     narr
    0.95
    Activations Density 0.541%

    No Known Activations