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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. 3263
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    INDEX
    Explanations

    mentions of educational institutions or alumni

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their alumni

    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
    rophic
    -0.73
    estation
    -0.68
    ocalypse
    -0.67
    OD
    -0.67
    esses
    -0.65
    hetto
    -0.62
    od
    -0.62
    ullivan
    -0.62
    olan
    -0.61
    orb
    -0.59
    POSITIVE LOGITS
     mater
    1.15
    iel
    0.94
    cules
    0.92
    channelAvailability
    0.76
    ifi
    0.74
    IAL
    0.74
    abilia
    0.73
    nces
    0.72
     Armour
    0.70
    weights
    0.70
    Activations Density 0.016%

    No Known Activations