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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. 12007
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    Explanations

    mentions of fast food restaurants

    oai_token-act-pair · gpt-3.5-turbo

    references to fast food

    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
    pheus
    -0.80
    xual
    -0.79
     Seym
    -0.79
    illary
    -0.76
    vironment
    -0.75
    ignty
    -0.75
    eryl
    -0.75
     Marketable
    -0.74
    cules
    -0.73
    ettings
    -0.72
    POSITIVE LOGITS
    idious
    1.51
     paced
    1.32
    eners
    1.19
    ened
    1.13
    ener
    0.99
    cgi
    0.96
    ening
    0.91
     asleep
    0.86
     lear
    0.84
    nesses
    0.83
    Activations Density 0.029%

    No Known Activations