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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

    mentions of the term "Canadians"

    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
    gur
    -0.75
    sole
    -0.72
    boss
    -0.68
    ITED
    -0.65
     Verb
    -0.65
    /+
    -0.65
    planet
    -0.65
    fecture
    -0.64
     Starship
    -0.63
    cler
    -0.63
    POSITIVE LOGITS
     Canadians
    0.99
    ervatives
    0.97
    hip
    0.83
    ervative
    0.81
    aurus
    0.81
    umers
    0.76
     Australians
    0.71
     honoured
    0.70
    algia
    0.69
    poons
    0.69
    Activations Density 0.020%

    No Known Activations