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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. 8-RES-JB
    11. 1109
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vana
    -0.89
    words
    -0.85
    earchers
    -0.79
    mates
    -0.78
    agra
    -0.76
    devices
    -0.76
    drivers
    -0.75
    ells
    -0.75
    aways
    -0.74
    nexus
    -0.74
    POSITIVE LOGITS
     Sch
    1.08
     Berg
    1.04
     Gonz
    1.03
     Ernst
    1.03
     Klopp
    1.02
     Jensen
    1.00
     Klein
    1.00
     Schneider
    0.98
     Luk
    0.98
     Karl
    0.98
    Activations Density 0.190%

    No Known Activations