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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. 24067
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    INDEX
    Explanations

    proper nouns or names of people

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and their usage in the context of individuals and personal references

    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
    ruciating
    -0.68
     waivers
    -0.62
     reinforcement
    -0.61
    cknowled
    -0.60
     à¤
    -0.60
     tame
    -0.59
     symp
    -0.58
     impunity
    -0.57
     buds
    -0.56
     segment
    -0.56
    POSITIVE LOGITS
    anmar
    1.27
    resa
    1.16
    odore
    1.11
    pherd
    0.98
    instein
    0.98
    ffield
    0.98
    lando
    0.97
    ablishment
    0.96
    bidden
    0.96
    berman
    0.95
    Activations Density 0.150%

    No Known Activations