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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 4169
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    Explanations

    names of locations, specifically "Santa Clara" and "Alameda"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Clara," specifically in various contexts

    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
    unct
    -0.76
    ramid
    -0.72
    mediated
    -0.72
    ileaks
    -0.71
    lopp
    -0.70
    Marginal
    -0.67
    nuclear
    -0.64
    Western
    -0.64
    PUT
    -0.64
    draft
    -0.64
    POSITIVE LOGITS
     Clara
    1.49
     Oswald
    0.92
    asma
    0.81
     Barton
    0.80
    iffe
    0.79
     valley
    0.77
    phia
    0.75
    Lens
    0.73
     Jenna
    0.72
     County
    0.72
    Activations Density 0.006%

    No Known Activations