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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. 9-RES-JB
    11. 4990
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    Explanations

    proper nouns or entities, particularly brand names and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    absolute
    -1.02
    perm
    -0.99
    soc
    -0.98
    rac
    -0.98
    mble
    -0.98
    hor
    -0.97
    single
    -0.95
    atem
    -0.93
    nc
    -0.93
    exec
    -0.93
    POSITIVE LOGITS
     Oaks
    1.05
     Thrones
    1.02
     Suit
    1.00
     Dome
    0.99
     Lord
    0.95
     Shield
    0.94
     Wave
    0.93
     Point
    0.93
     Lords
    0.93
     Veil
    0.93
    Activations Density 0.332%

    No Known Activations