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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. 8-RES-JB
    11. 8153
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    Explanations

    mentions of specific nationalities, such as Germans and Russians

    oai_token-act-pair · gpt-3.5-turbo

    mentions of particular nationalities or groups involved in historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tains
    -0.72
    ľ
    -0.68
    quickShipAvailable
    -0.64
    antha
    -0.64
    ļé
    -0.64
    ģ«
    -0.63
    boards
    -0.61
    wise
    -0.59
     citations
    -0.59
    Chan
    -0.59
    POSITIVE LOGITS
     themselves
    1.15
    '
    1.07
    ervative
    0.99
    layer
    0.97
    ervatives
    0.93
    ']
    0.90
    hift
    0.87
    heet
    0.86
     are
    0.84
    kaya
    0.83
    Activations Density 0.183%

    No Known Activations