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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. 10-RES-JB
    11. 10360
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    Explanations

    references to vehicles, particularly cars

    oai_token-act-pair · gpt-3.5-turbo

    references to cars and automotive-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.90
    xual
    -0.74
    edIn
    -0.73
     Seym
    -0.72
    scl
    -0.70
    naires
    -0.69
     Subtle
    -0.65
     Salmon
    -0.62
     Disciple
    -0.62
     Dull
    -0.62
    POSITIVE LOGITS
    ousel
    1.58
    riages
    1.51
    penter
    1.46
    negie
    1.16
     dealership
    1.16
    rera
    1.15
    riage
    1.10
    olina
    1.04
    pool
    1.01
    seat
    1.01
    Activations Density 0.052%

    No Known Activations