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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. 8-RES-JB
    6. 7470
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    INDEX
    Explanations

    detailed descriptions or narrations provided by eyewitnesses

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of accounts and eyewitness testimonies

    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
    enta
    -0.84
    bledon
    -0.84
    OPA
    -0.82
    lahoma
    -0.71
    oku
    -0.71
    olicy
    -0.70
    ertodd
    -0.69
    pex
    -0.69
    upid
    -0.68
    Python
    -0.65
    POSITIVE LOGITS
     narr
    1.11
    ewitness
    1.08
     tales
    1.06
     narrated
    1.05
     recounted
    1.03
     corrobor
    1.03
     narration
    1.02
     testimonies
    0.97
     relayed
    0.95
     anecdotes
    0.95
    Activations Density 0.176%

    No Known Activations