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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. 4-RES-JB
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    Explanations

    names of famous individuals

    oai_token-act-pair · gpt-3.5-turbo

    the names of public figures and notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.70
    dylib
    -0.70
     Hurricanes
    -0.69
    ISION
    -0.69
    stown
    -0.68
    DCS
    -0.68
    intendent
    -0.67
    ruary
    -0.66
    rawdownloadcloneembedreportprint
    -0.66
    Äĩ
    -0.65
    POSITIVE LOGITS
    isner
    0.73
    bish
    0.68
    amoto
    0.65
     answ
    0.65
    ravis
    0.65
    ask
    0.62
     shenan
    0.62
    udget
    0.62
     imitation
    0.60
    lett
    0.58
    Activations Density 0.236%

    No Known Activations