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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. 3-RES-JB
    11. 2803
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    Explanations

    mentions of the location "Cupertino"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Cupertino

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Asylum
    -0.80
    hips
    -0.75
     Cosponsors
    -0.73
    姫
    -0.72
     Aid
    -0.72
    tenance
    -0.70
    tested
    -0.70
     Pathfinder
    -0.68
     Quarterly
    -0.68
    âķIJâķIJ
    -0.68
    POSITIVE LOGITS
    isine
    1.53
    Cu
    0.94
    entric
    0.92
     Cu
    0.90
    awei
    0.90
    adr
    0.90
    illin
    0.87
    isin
    0.85
    osi
    0.85
    vette
    0.84
    Activations Density 0.004%

    No Known Activations