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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. 8-RES-JB
    11. 11268
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    Explanations

    proper nouns, specifically focusing on names or identifiers of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to individuals and their actions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     STATS
    -0.67
     directions
    -0.65
     inaction
    -0.64
    BALL
    -0.58
     pim
    -0.58
     subdiv
    -0.58
     tighter
    -0.58
    CLASSIFIED
    -0.58
     lob
    -0.58
     quar
    -0.57
    POSITIVE LOGITS
    hiba
    0.92
    itus
    0.83
    aron
    0.82
    edo
    0.80
    asury
    0.79
    rir
    0.77
    shirt
    0.77
    flix
    0.76
    oshenko
    0.76
     Lei
    0.76
    Activations Density 0.129%

    No Known Activations