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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. 2-RES-JB
    11. 21555
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    Explanations

    specific food ingredients

    oai_token-act-pair · gpt-3.5-turbo

    chopped or processed food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Zap
    -0.77
     pigeon
    -0.75
     Palest
    -0.69
     Tuc
    -0.68
    guy
    -0.65
    eh
    -0.65
     Lafayette
    -0.63
    Arab
    -0.62
    Sund
    -0.62
     Louie
    -0.61
    POSITIVE LOGITS
    iths
    0.67
    acca
    0.66
    ModLoader
    0.66
    azon
    0.65
     risked
    0.64
     consulted
    0.63
    raft
    0.63
     merit
    0.61
    aed
    0.61
    Profile
    0.60
    Activations Density 0.000%

    No Known Activations