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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. 3-RES-JB
    11. 21176
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    Explanations

    mentions of someone being involved in various activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "involved" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Jet
    -0.75
    efully
    -0.70
    ipe
    -0.69
    fer
    -0.67
    mares
    -0.67
    ppel
    -0.66
     Arri
    -0.66
    OIL
    -0.65
    orously
    -0.64
    Whe
    -0.63
    POSITIVE LOGITS
     involved
    0.90
    ioned
    0.88
     implicated
    0.81
    itaire
    0.77
    olved
    0.77
    enza
    0.73
    annel
    0.69
    involved
    0.69
    ulkan
    0.65
     embroiled
    0.64
    Activations Density 0.023%

    No Known Activations