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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. 7-RES-JB
    11. 15323
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    Explanations

    phrases related to individuals in leadership roles

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and commas in relation to names and roles of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opt
    -0.65
    process
    -0.63
    roxy
    -0.61
    aires
    -0.61
     epist
    -0.60
    ãĥ©
    -0.60
    IP
    -0.59
    ERROR
    -0.57
    eries
    -0.57
    rf
    -0.57
    POSITIVE LOGITS
     Jr
    1.23
     Sr
    1.00
    who
    0.97
     whom
    0.95
     aka
    0.92
     who
    0.92
     whose
    0.91
    whose
    0.85
     PhD
    0.77
     meanwhile
    0.75
    Activations Density 0.217%

    No Known Activations