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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. 23861
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    Explanations

    first-person pronouns indicating possession

    oai_token-act-pair · gpt-3.5-turbo

    possessive pronouns and phrases indicating personal or collective sentiments

    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
     Printed
    -0.69
    âĿ
    -0.65
    Split
    -0.64
     Takes
    -0.62
    Vers
    -0.60
    gets
    -0.60
     Rated
    -0.59
     Helpful
    -0.59
     Comes
    -0.59
    rolled
    -0.58
    POSITIVE LOGITS
     extent
    1.72
     detriment
    1.33
    venge
    1.15
     degree
    1.11
     dismay
    1.03
     tune
    1.00
     exclusion
    0.98
    rouse
    0.96
     contrary
    0.95
     amaz
    0.94
    Activations Density 0.161%

    No Known Activations