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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. 2-RES-JB
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    Explanations

    proper nouns related to a specific vineyard

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aundering
    -0.72
    Ĥª
    -0.72
    aternity
    -0.72
    ramid
    -0.70
    iosis
    -0.70
    olulu
    -0.69
    ounding
    -0.69
    omo
    -0.65
    ocene
    -0.65
    romy
    -0.64
    POSITIVE LOGITS
    yard
    1.43
    yards
    1.32
    vine
    1.22
     Vine
    1.17
     vine
    1.14
     vines
    0.90
    aic
    0.85
    Dialogue
    0.84
    athan
    0.84
    ectar
    0.84
    Activations Density 0.010%

    No Known Activations