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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. 1-RES-JB
    11. 2481
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    Explanations

    words or phrases indicating a high level of quality or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express subjective opinions or arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iry
    -0.74
     Email
    -0.66
    cor
    -0.66
     Bowl
    -0.66
    ynchron
    -0.64
     Waste
    -0.63
     Valkyrie
    -0.63
     Patient
    -0.62
     Meeting
    -0.62
    enger
    -0.61
    POSITIVE LOGITS
     metic
    0.85
    ãĤ´ãĥ³
    0.85
    uably
    0.82
     unemploy
    0.82
    ãĥ¼ãĥĨãĤ£
    0.78
    ãĤ©
    0.78
    åŃIJ
    0.77
    lehem
    0.74
    ãĥ¼ãĥĨ
    0.73
    ãĥ´ãĤ¡
    0.73
    Activations Density 0.006%

    No Known Activations