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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. 0-RES-JB
    11. 6252
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    Explanations

    locations, specifically suburbs

    oai_token-act-pair · gpt-3.5-turbo

    references to suburban areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PP
    -0.73
    Chain
    -0.68
    kick
    -0.66
    ache
    -0.65
    Ice
    -0.64
    hei
    -0.63
    witch
    -0.62
    arth
    -0.62
     Blizz
    -0.62
    Master
    -0.61
    POSITIVE LOGITS
     suburbs
    3.55
     suburb
    3.49
     suburban
    2.30
     outskirts
    1.58
     neighbourhoods
    1.58
     metropolitan
    1.55
     neighbourhood
    1.48
     metro
    1.43
     countryside
    1.43
     neighborhoods
    1.41
    Activations Density 0.017%

    No Known Activations