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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. 8-RES-JB
    11. 10792
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    Explanations

    descriptions or mentions of physical shapes and attributes such as "rounded," "flat," "curved," and "irregular."

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives related to shapes and contours

    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
    Database
    -0.92
    NSA
    -0.84
    ONSORED
    -0.83
    Cash
    -0.82
    Monitor
    -0.81
    EMS
    -0.80
    Deal
    -0.79
    Money
    -0.78
    Faith
    -0.78
    GAME
    -0.75
    POSITIVE LOGITS
     diameter
    1.19
     curved
    1.14
     oval
    1.10
     angled
    1.10
     curv
    1.10
     hips
    1.08
     ridge
    1.06
     triangular
    1.06
     circumference
    1.06
     edges
    1.04
    Activations Density 0.219%

    No Known Activations