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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. 1-RES-JB
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    Explanations

    mentions of locations related to military bases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of military forts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.67
    lihood
    -0.67
    âĹ¼
    -0.66
    00007
    -0.63
    henko
    -0.63
    early
    -0.62
    gger
    -0.62
    OPLE
    -0.61
     subscribing
    -0.61
     Paras
    -0.60
    POSITIVE LOGITS
    uitous
    1.33
     Fort
    1.15
    itude
    1.13
     Lauderdale
    0.97
    folios
    0.94
    ieth
    0.91
    dinand
    0.89
    ilage
    0.87
    oise
    0.87
    hesda
    0.85
    Activations Density 0.006%

    No Known Activations