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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. 6-RES-JB
    11. 7118
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    Explanations

    verbs related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    actions and processes related to consumption and inputs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cephal
    -0.68
    Inv
    -0.66
    apter
    -0.64
    pron
    -0.64
    ikk
    -0.60
    Tele
    -0.59
    app
    -0.57
    tele
    -0.56
    clusive
    -0.56
    aren
    -0.55
    POSITIVE LOGITS
     hers
    0.95
     theirs
    0.95
     yours
    0.73
     ours
    0.72
    ļé
    0.72
    arte
    0.66
    gans
    0.66
     alot
    0.64
     mine
    0.62
    azo
    0.61
    Activations Density 0.544%

    No Known Activations