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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. 7-RES-JB
    6. 21072
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    Explanations

    descriptions of various incidents and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cases or incidents involving notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.78
     isEnabled
    -0.70
    UME
    -0.67
    rients
    -0.67
    heit
    -0.66
    Lenin
    -0.66
    ionics
    -0.65
    tion
    -0.64
    Demand
    -0.64
    amines
    -0.63
    POSITIVE LOGITS
     recently
    0.83
     unsuccessfully
    0.75
     fiasco
    0.74
     unsuccessful
    0.72
     botched
    0.71
     debacle
    0.71
    oÄŁ
    0.70
     disastrous
    0.70
     memorable
    0.69
     swat
    0.69
    Activations Density 1.229%

    No Known Activations