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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. 11-RES-JB
    11. 5650
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    INDEX
    Explanations

    words related to military bases or building a foundation

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational structures or concepts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbnails
    -0.78
    essen
    -0.73
    oso
    -0.71
    ugh
    -0.69
    opes
    -0.68
    âĶģ
    -0.67
    ulp
    -0.67
    icer
    -0.66
     Gleaming
    -0.65
     Guerrero
    -0.65
    POSITIVE LOGITS
    camp
    1.39
    BALL
    1.05
    ball
    1.02
    plate
    1.00
    plates
    0.97
     camp
    0.90
    band
    0.90
    hog
    0.90
    coat
    0.81
    balls
    0.79
    Activations Density 0.043%

    No Known Activations