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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. 0-RES-JB
    11. 4922
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    INDEX
    Explanations

    phrases related to the imagery and production aspects of film scenes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scenes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ledge
    -0.78
    HI
    -0.77
    acea
    -0.72
     validated
    -0.65
     GA
    -0.64
    ®
    -0.63
    ija
    -0.63
     carrier
    -0.63
    heit
    -0.62
    aer
    -0.60
    POSITIVE LOGITS
     scenes
    4.02
     Scenes
    2.97
    scenes
    2.55
     scene
    2.54
     Scene
    2.12
    scene
    1.94
    Scene
    1.58
     sequences
    1.51
     episodes
    1.46
     storylines
    1.43
    Activations Density 0.008%

    No Known Activations