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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. 18479
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    Explanations

    references to different suburbs

    oai_token-act-pair · gpt-3.5-turbo

    references to suburban locations

    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
    smoking
    -0.77
    Bone
    -0.72
    CV
    -0.71
    lda
    -0.68
    gettable
    -0.65
    ammy
    -0.64
    uchin
    -0.62
    TPP
    -0.62
    ptive
    -0.61
    risome
    -0.60
    POSITIVE LOGITS
     suburb
    1.13
     malls
    1.02
     mall
    0.90
    uary
    0.82
     neighb
    0.82
    ia
    0.79
    folk
    0.74
     Skydragon
    0.74
     enclave
    0.74
    chool
    0.74
    Activations Density 0.007%

    No Known Activations