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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12351
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    Explanations

    personal pronouns followed by actions or states that hold significance

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and their references in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Globe
    -0.89
     Akron
    -0.79
     Aden
    -0.71
     Leban
    -0.70
    aceutical
    -0.70
     Hague
    -0.69
     Kush
    -0.66
     Kinn
    -0.65
    adan
    -0.65
     Yel
    -0.64
    POSITIVE LOGITS
    'd
    1.12
    'll
    1.11
    've
    1.07
    're
    1.04
    'm
    0.91
     could
    0.88
     shouldn
    0.86
     couldn
    0.80
    ould
    0.78
    RL
    0.77
    Activations Density 0.228%

    No Known Activations