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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. 10-RES-JB
    11. 12332
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly those associated with significant roles or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lumpur
    -0.71
    èª
    -0.67
    士
    -0.64
     Bengal
    -0.62
     VID
    -0.61
     COP
    -0.60
    iless
    -0.60
    cdn
    -0.59
    IUM
    -0.58
     Nadu
    -0.57
    POSITIVE LOGITS
    enhagen
    1.04
    isch
    0.68
    adows
    0.67
    ardo
    0.67
    ahon
    0.66
    annon
    0.66
    ricks
    0.63
    ulic
    0.62
    ashing
    0.60
    aylor
    0.58
    Activations Density 0.119%

    No Known Activations