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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. 4-RES-JB
    11. 15873
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    Explanations

    words related to reproduction and copying/scanning activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reproduction and reproductive processes

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

    No Comments

    Negative Logits
    arta
    -0.85
    nuts
    -0.81
    nut
    -0.81
    kers
    -0.79
    rail
    -0.78
    amaru
    -0.74
    stone
    -0.73
    bara
    -0.72
    usher
    -0.71
    orage
    -0.71
    POSITIVE LOGITS
     reprodu
    1.09
     reproduce
    0.95
     reproduced
    0.93
     copies
    0.78
     Reprodu
    0.78
    Upload
    0.77
    icable
    0.73
     Worker
    0.73
    CLASSIFIED
    0.70
    ezvous
    0.70
    Activations Density 0.011%

    No Known Activations