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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
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    Explanations

    mentions of coconut

    oai_token-act-pair · gpt-3.5-turbo

    references to coconut and its various culinary uses

    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
    href
    -0.79
     Schr
    -0.74
    naires
    -0.74
    earable
    -0.73
    IGN
    -0.68
     Berks
    -0.68
    alties
    -0.68
    ROR
    -0.68
    defined
    -0.67
    Drug
    -0.67
    POSITIVE LOGITS
     coconut
    1.15
     palm
    0.87
    culus
    0.87
     Coconut
    0.86
     coc
    0.83
     mango
    0.82
     cake
    0.82
    hedral
    0.80
    onut
    0.79
     coral
    0.78
    Activations Density 0.007%

    No Known Activations