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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. 7-RES-JB
    11. 17965
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.94
    paces
    -0.82
    aday
    -0.68
    recy
    -0.66
    abouts
    -0.65
     Krypt
    -0.61
    boro
    -0.59
    cuts
    -0.58
     Cent
    -0.58
     Fathers
    -0.57
    POSITIVE LOGITS
    ixture
    0.73
    ³³³³³³³³³³³³³³³³
    0.68
    voy
    0.66
    ³³³
    0.66
    ³³³³³³³³
    0.65
    arta
    0.62
    gex
    0.62
    Lens
    0.59
    ³³³³
    0.59
    ãĥ©ãĥ³
    0.59
    Activations Density 0.374%

    No Known Activations