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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. 5325
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ãģ®å®
    -0.72
    Loading
    -0.70
     "$:/
    -0.70
    DoS
    -0.66
    loop
    -0.66
    brance
    -0.65
    İ
    -0.63
    º
    -0.62
    ãĤµ
    -0.62
    ittee
    -0.62
    POSITIVE LOGITS
     glances
    1.06
     vows
    0.95
     scraps
    0.90
     gifts
    0.88
     blows
    0.87
     pairs
    0.85
     between
    0.81
     greet
    0.81
     halves
    0.78
     favors
    0.78
    Activations Density 0.085%

    No Known Activations