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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. 7-RES-JB
    11. 14127
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    Explanations

    references to particulate matter concentration levels in the air

    oai_token-act-pair · gpt-3.5-turbo

    references to particulate matter and its concentrations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    combe
    -0.88
    come
    -0.78
    beit
    -0.76
    xon
    -0.75
    ttes
    -0.75
    seeing
    -0.74
    cipline
    -0.70
    wikipedia
    -0.70
    tyard
    -0.69
     spirits
    -0.68
    POSITIVE LOGITS
    PD
    0.91
    ueller
    0.90
    ORTS
    0.85
    orrow
    0.82
    essage
    0.82
    MU
    0.79
    PM
    0.78
    olicy
    0.75
    ilitary
    0.73
    utation
    0.73
    Activations Density 0.036%

    No Known Activations