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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

    names or terms containing the word "Nielsen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Nielsen"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Carbuncle
    -0.79
    ebook
    -0.75
    xual
    -0.73
    course
    -0.72
    resp
    -0.67
    draw
    -0.65
    liness
    -0.64
     hypot
    -0.64
     Izan
    -0.63
    rior
    -0.61
    POSITIVE LOGITS
    elsen
    1.49
     Nielsen
    1.35
    acher
    0.80
    elson
    0.80
     "$:/
    0.78
    achers
    0.75
    wald
    0.73
    Numbers
    0.69
    Ni
    0.69
    obook
    0.69
    Activations Density 0.005%

    No Known Activations