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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. 18042
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    Explanations

    names or terms related to certain places or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places and people

    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
     Sham
    -0.64
    poke
    -0.63
    nyder
    -0.61
     MPH
    -0.59
    ãĤ©
    -0.57
     Bots
    -0.55
     talents
    -0.55
     ORDER
    -0.55
     yen
    -0.55
     Yus
    -0.54
    POSITIVE LOGITS
    rette
    1.00
    ĸļ
    0.78
    anne
    0.78
    oute
    0.75
    onen
    0.75
    anmar
    0.74
    otomy
    0.73
    ña
    0.72
    ée
    0.70
    thia
    0.70
    Activations Density 0.055%

    No Known Activations