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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. 3439
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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
    aan
    -0.73
    amaz
    -0.69
    ework
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    strap
    -0.66
    mans
    -0.66
    adapt
    -0.65
    mint
    -0.65
    wolves
    -0.63
    aus
    -0.63
    åī
    -0.62
    POSITIVE LOGITS
     interests
    0.99
     Groups
    0.87
    reprene
    0.84
     Lobby
    0.75
     groups
    0.74
     maxim
    0.73
     aligned
    0.72
     outwe
    0.72
     agenda
    0.71
    group
    0.70
    Activations Density 0.042%

    No Known Activations