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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. 1804
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    Explanations

    proper nouns indicating locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names and terms indicating locations or identities in narratives

    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
     Ultron
    -0.80
     Amph
    -0.80
     Fields
    -0.78
     Sox
    -0.74
     Chapman
    -0.73
     TMZ
    -0.72
     LAPD
    -0.71
     TNT
    -0.69
     Draper
    -0.69
     Goodman
    -0.68
    POSITIVE LOGITS
    Que
    2.14
    Mary
    1.77
    Louis
    1.57
    Never
    1.49
    Miss
    1.46
    Port
    1.39
    Nev
    1.37
    Connect
    1.37
    mary
    1.32
    Kent
    1.26
    Activations Density 0.047%

    No Known Activations