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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. 9-RES-JB
    11. 20256
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    INDEX
    Explanations

    patterns related to numerical positions or sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to ordinal positions and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hawks
    -0.74
     Canaver
    -0.72
    tics
    -0.72
    mbuds
    -0.70
    ANS
    -0.70
    zbollah
    -0.70
    acons
    -0.65
    rists
    -0.64
    anship
    -0.63
     Talks
    -0.62
    POSITIVE LOGITS
     layer
    1.17
     iteration
    1.10
     element
    1.04
     row
    1.01
     paragraph
    1.01
     ingredient
    0.99
     phase
    0.98
     step
    0.97
     portion
    0.97
     section
    0.95
    Activations Density 0.211%

    No Known Activations