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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. 676
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    Explanations

    keywords related to chewing gum and similar products

    oai_token-act-pair · gpt-3.5-turbo

    references to gum and related products

    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
    inen
    -0.84
     Archdemon
    -0.76
     Levi
    -0.74
    ————————
    -0.71
     Asylum
    -0.71
     Tall
    -0.69
    ECH
    -0.69
     Sending
    -0.69
    ICS
    -0.68
    ————————————————
    -0.68
    POSITIVE LOGITS
     gum
    1.67
     chewing
    1.12
    ming
    1.10
    balls
    1.01
     Gum
    0.96
    drops
    0.92
    ball
    0.91
     wrapper
    0.89
    bag
    0.88
    drop
    0.85
    Activations Density 0.004%

    No Known Activations