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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. 9-RES-JB
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    Explanations

    mentions of the word "lemon"

    oai_token-act-pair · gpt-3.5-turbo

    references to lemon-related items and flavors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afety
    -0.77
     Pension
    -0.75
     Fargo
    -0.72
    razil
    -0.71
    PsyNetMessage
    -0.70
    Downloadha
    -0.70
    ITNESS
    -0.68
    pread
    -0.67
    IBLE
    -0.67
    ATTLE
    -0.66
    POSITIVE LOGITS
     juice
    1.17
    ade
    1.14
     peel
    1.00
    fruit
    0.94
    cit
    0.92
     squee
    0.91
    ades
    0.88
     bal
    0.86
    ous
    0.85
     juices
    0.85
    Activations Density 0.045%

    No Known Activations