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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. 10-RES-JB
    6. 8712
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    Explanations

    mention of the word "King" in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TING
    -0.73
    ted
    -0.71
    ename
    -0.70
    ATIONS
    -0.69
    ters
    -0.66
    orers
    -0.63
    ations
    -0.62
    oresc
    -0.62
    ATIONAL
    -0.61
    orescence
    -0.59
    POSITIVE LOGITS
    pin
    1.38
    pins
    1.27
    uin
    1.23
    dom
    1.02
    doms
    1.01
     Kong
    1.00
    STON
    0.92
    ston
    0.92
     Abdullah
    0.91
    killer
    0.90
    Activations Density 0.024%

    No Known Activations