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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 18204
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    Explanations

    Ways of indicating or reacting to specific incidents, actions, or events

    oai_token-act-pair · gpt-3.5-turbo

    events or situations involving video evidence or visual documentation

    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
    ntil
    -0.82
    DragonMagazine
    -0.69
    soDeliveryDate
    -0.67
    Topic
    -0.65
     Cosponsors
    -0.64
    UGC
    -0.62
    ãĥ¼ãĤ¯
    -0.62
    ETF
    -0.62
    LESS
    -0.61
    NetMessage
    -0.60
    POSITIVE LOGITS
     arrives
    0.79
     expires
    0.70
     arrived
    0.69
     erupted
    0.69
     arrive
    0.68
     abruptly
    0.68
     uproar
    0.67
     outcry
    0.67
     enters
    0.65
     unexpectedly
    0.65
    Activations Density 0.991%

    No Known Activations