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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
    11. 16848
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    Explanations

    titles or names of movies, characters, and locations

    oai_token-act-pair · gpt-3.5-turbo

    titles or names associated with the Star Wars franchise

    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
    ograp
    -0.68
     calendars
    -0.59
     Benef
    -0.57
     DIRECT
    -0.56
     Document
    -0.56
     NEC
    -0.55
     objection
    -0.53
     kay
    -0.52
     Fil
    -0.52
    Camera
    -0.52
    POSITIVE LOGITS
    emphasis
    0.65
    lace
    0.65
    Ħ¢
    0.63
    unia
    0.62
    iddler
    0.58
     ItemLevel
    0.58
    chant
    0.58
    \":
    0.57
    ĺħ
    0.57
    eteria
    0.57
    Activations Density 0.457%

    No Known Activations