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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. 4-RES-JB
    11. 6758
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    Explanations

    words related to chewing gum

    oai_token-act-pair · gpt-3.5-turbo

    references to chewing gum

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

    No Comments

    Negative Logits
    inen
    -0.85
     Levi
    -0.72
    ICS
    -0.71
     Defenders
    -0.71
     VIDEOS
    -0.67
    Constructed
    -0.65
    ECH
    -0.64
    Technical
    -0.64
     Mutual
    -0.64
    ————————
    -0.64
    POSITIVE LOGITS
     gum
    1.30
    ming
    1.13
     chewing
    0.99
    drops
    0.95
    ball
    0.95
    balls
    0.95
    bum
    0.94
    strings
    0.88
    worms
    0.88
    bo
    0.87
    Activations Density 0.005%

    No Known Activations