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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. 2-RES-JB
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    Explanations

    information related to real-life events and experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to real-life situations and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pigs
    -0.63
     Welch
    -0.61
     REM
    -0.61
     Alleg
    -0.60
    cknowled
    -0.59
    enced
    -0.57
    REM
    -0.56
    BL
    -0.56
     Quit
    -0.55
     Zimmer
    -0.55
    POSITIVE LOGITS
    eers
    0.82
    âĶĢâĶĢâĶĢâĶĢ
    0.78
    upid
    0.73
    oppable
    0.73
    gypt
    0.70
    advertising
    0.70
    rencies
    0.68
    liness
    0.68
    atoes
    0.67
    ragon
    0.67
    Activations Density 0.085%

    No Known Activations