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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. 5129
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    Explanations

    mentions of and discussions about bots

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bots and automation technology

    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
    egal
    -0.67
    restricted
    -0.67
    mble
    -0.65
    journal
    -0.64
    ournal
    -0.63
    VEN
    -0.60
    uncture
    -0.57
    vironment
    -0.56
     Situation
    -0.55
    Struct
    -0.55
    POSITIVE LOGITS
    anical
    1.18
    wana
    1.01
    cham
    1.00
    anooga
    0.98
    zeb
    0.98
    herer
    0.93
    nets
    0.91
    leneck
    0.89
     bot
    0.87
     Bots
    0.86
    Activations Density 0.008%

    No Known Activations