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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. 10112
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    Explanations

    phrases related to specific names or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific individuals and places

    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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    No Comments

    Negative Logits
    ified
    -0.97
    ifying
    -0.80
    anim
    -0.80
    ingen
    -0.77
    wagen
    -0.77
    orders
    -0.76
    ipped
    -0.75
    actions
    -0.73
    stakes
    -0.72
    essed
    -0.72
    POSITIVE LOGITS
    qua
    0.84
    venture
    0.77
    cknow
    0.75
    verages
    0.70
     Dhabi
    0.68
     Moroc
    0.67
    UTH
    0.67
    SPA
    0.67
    Reviewer
    0.66
    ħĭ
    0.66
    Activations Density 0.251%

    No Known Activations