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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. 4737
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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
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    Negative Logits
     Spice
    -0.75
    ratom
    -0.69
    gm
    -0.68
    ombo
    -0.65
     Leone
    -0.63
    apons
    -0.62
     fortun
    -0.61
    onz
    -0.61
    inces
    -0.60
    istani
    -0.60
    POSITIVE LOGITS
    manship
    0.94
    holder
    0.88
    marks
    0.86
    plates
    0.85
    plate
    0.84
    card
    0.84
    holders
    0.83
     sponsor
    0.81
    pad
    0.80
     deeds
    0.79
    Activations Density 0.039%

    No Known Activations