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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. 22136
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    INDEX
    Explanations

    mentions of obstacles, challenges, and specific events such as matches and matches

    oai_token-act-pair · gpt-3.5-turbo

    topics related to challenges and obstacles

    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
     Entered
    -0.70
     Rhino
    -0.50
     Brock
    -0.50
     calendars
    -0.49
     sorting
    -0.48
     chem
    -0.46
     Hug
    -0.45
     Rash
    -0.45
     seismic
    -0.45
     Lad
    -0.45
    POSITIVE LOGITS
    orea
    0.64
    ohm
    0.64
    espie
    0.64
    )=(
    0.60
    MSN
    0.60
    )].
    0.59
    raphics
    0.58
     itself
    0.58
    /+
    0.56
    ļé
    0.56
    Activations Density 1.903%

    No Known Activations