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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. 3-RES-JB
    6. 12354
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    Explanations

    proper nouns related to a specific named entity "Clark"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Clark" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    choes
    -0.96
    urity
    -0.90
    76561
    -0.85
    ntil
    -0.82
    awaru
    -0.82
    orescence
    -0.80
    URI
    -0.76
    ĻĤ
    -0.74
    mble
    -0.71
    olitan
    -0.71
    POSITIVE LOGITS
    stown
    1.07
    ston
    0.97
     Clark
    0.92
     Kent
    0.89
     County
    0.86
    icum
    0.85
    obyl
    0.84
     Yards
    0.82
    ville
    0.82
    anan
    0.80
    Activations Density 0.007%

    No Known Activations