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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. 7-RES-JB
    11. 8777
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    Explanations

    mentions of pastes, possibly in the context of ingredients or recipes

    oai_token-act-pair · gpt-3.5-turbo

    words related to "paste" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    beit
    -0.68
    izont
    -0.65
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.64
    sbm
    -0.64
     Mobility
    -0.63
    ´
    -0.63
    hips
    -0.63
    axies
    -0.63
     Gry
    -0.61
     Cage
    -0.61
    POSITIVE LOGITS
    urized
    1.54
    ur
    1.16
     paste
    0.95
    ured
    0.89
    lete
    0.89
    ures
    0.87
    urious
    0.82
    uring
    0.81
    URES
    0.80
    mers
    0.79
    Activations Density 0.042%

    No Known Activations