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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. 6-RES-JB
    11. 1065
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to exchanges or transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.78
    yip
    -0.73
    enegger
    -0.73
    jri
    -0.71
    ween
    -0.71
    channelAvailability
    -0.70
    kson
    -0.70
    aina
    -0.68
    eday
    -0.66
    soDeliveryDate
    -0.63
    POSITIVE LOGITS
    ciating
    1.18
    entials
    0.78
    olitics
    0.77
    ciation
    0.76
    cise
    0.70
    ctions
    0.70
    clamation
    0.68
    ij士
    0.66
    ition
    0.65
    imity
    0.65
    Activations Density 0.045%

    No Known Activations