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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. 1-RES-JB
    11. 5320
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    Explanations

    scenes or locations described in sentences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scene" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.95
    icrobial
    -0.89
    thood
    -0.88
    achev
    -0.84
    undai
    -0.83
    awaru
    -0.81
    iago
    -0.81
    amn
    -0.79
    isol
    -0.79
    gements
    -0.77
    POSITIVE LOGITS
     Scene
    1.25
    Dialogue
    1.18
     scenes
    1.12
     scene
    1.10
     Scenes
    1.05
    scene
    0.90
    Scene
    0.88
    Capture
    0.77
     Veter
    0.77
     Recording
    0.76
    Activations Density 0.012%

    No Known Activations