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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. 4862
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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
     tremend
    -0.70
     scatter
    -0.69
     segreg
    -0.68
     guiActiveUnfocused
    -0.66
     scattering
    -0.65
     sling
    -0.65
     Sabha
    -0.64
     levers
    -0.64
     mans
    -0.63
     wom
    -0.63
    POSITIVE LOGITS
    ľ
    1.37
    ¬
    1.10
    º
    1.06
    Ń
    1.01
    Ľ
    1.00
    ¦
    0.98
    ¡
    0.97
    ª
    0.97
    £
    0.97
    ł
    0.93
    Activations Density 0.253%

    No Known Activations