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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. 24179
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    INDEX
    Explanations

    proper names or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of a specific character or entity, represented by the sequences "Sm" and "Sn"

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    WARE
    -0.77
    ãģ§
    -0.71
     Boko
    -0.70
     Hezbollah
    -0.64
     RIS
    -0.63
     diplom
    -0.63
     Zika
    -0.62
     Updates
    -0.62
     Cerberus
    -0.60
     plag
    -0.60
    POSITIVE LOGITS
    atton
    1.17
    igg
    1.10
    aney
    1.08
    uth
    1.08
    ima
    1.05
    agon
    1.03
    antz
    1.02
    idav
    1.02
    agg
    1.01
    istar
    1.01
    Activations Density 0.073%

    No Known Activations