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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10591
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    Explanations

    words related to locations or settings, particularly those involving events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "scene"

    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
    utm
    -0.75
    rand
    -0.75
    ledge
    -0.71
    hips
    -0.69
    limited
    -0.64
    gain
    -0.63
    gran
    -0.63
    iam
    -0.60
    Increases
    -0.60
     elected
    -0.58
    POSITIVE LOGITS
     scene
    4.03
     Scene
    2.87
    scene
    2.72
     scenes
    2.66
     Scenes
    2.04
    Scene
    2.03
    scenes
    1.50
     scenery
    1.16
     sequence
    1.07
     scen
    1.05
    Activations Density 0.027%

    No Known Activations