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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. 7286
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    Explanations

    expressions of emphasis or intensity

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -1.09
    KY
    -0.75
    anwhile
    -0.74
    ETF
    -0.71
    xes
    -0.68
    x
    -0.68
    KER
    -0.68
    ramid
    -0.67
    OHN
    -0.67
    IDS
    -0.66
    POSITIVE LOGITS
     darn
    0.84
    ation
    0.82
    selves
    0.82
    nuts
    0.81
    ibly
    0.81
    warm
    0.78
     damn
    0.77
     damned
    0.72
    orse
    0.71
    bugs
    0.70
    Activations Density 0.029%

    No Known Activations