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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. 0-RES-JB
    11. 15378
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    Explanations

    phrases or terms related to high-ranking positions or titles, such as "President" or "Superintendent"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Th" multiple times, indicating a focus on references to that term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.73
    icable
    -0.68
    cue
    -0.67
    ennett
    -0.66
    orescence
    -0.65
    asking
    -0.64
     ILCS
    -0.64
    license
    -0.63
    nell
    -0.62
    chens
    -0.61
    POSITIVE LOGITS
     Th
    3.48
    Th
    2.37
     th
    1.95
     TH
    1.80
     Thr
    1.48
     Thorn
    1.40
     Than
    1.40
     Thur
    1.39
     Thou
    1.35
    tha
    1.28
    Activations Density 0.011%

    No Known Activations