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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. 9-RES-JB
    11. 5236
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    Explanations

    proper nouns, likely names of people and places

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ::::::::
    -0.74
    theless
    -0.68
     colle
    -0.60
     diplom
    -0.60
    assetsadobe
    -0.58
     adaptive
    -0.57
     scal
    -0.55
     financially
    -0.55
    flies
    -0.54
     technical
    -0.54
    POSITIVE LOGITS
    utenberg
    0.92
    itars
    0.87
    zon
    0.87
    addon
    0.85
    ahime
    0.80
    ingen
    0.78
    verson
    0.78
    iour
    0.76
    acco
    0.75
    hovah
    0.75
    Activations Density 0.379%

    No Known Activations