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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. 3-RES-JB
    11. 8264
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    Explanations

    proper nouns, specifically names of individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.58
    Bloom
    -0.57
    CONCLUS
    -0.56
    Brend
    -0.55
    ODUCT
    -0.55
    SOURCE
    -0.55
    LCS
    -0.55
    ********************************
    -0.54
     VIDE
    -0.54
    PRESS
    -0.53
    POSITIVE LOGITS
    nih
    0.80
    boa
    0.71
    ensis
    0.68
    anca
    0.68
    utsch
    0.68
    orem
    0.66
    oub
    0.65
    ata
    0.64
    atar
    0.63
    hair
    0.62
    Activations Density 0.734%

    No Known Activations