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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. 12-RES-JB
    11. 2716
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    INDEX
    Explanations

    phrases related to activities or actions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating a desire or intention to take action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.85
    ò
    -0.83
    ė
    -0.83
    č
    -0.83
    Ė
    -0.83
    Ĉ
    -0.83
    Ę
    -0.83
    Ĕ
    -0.83
    Ă
    -0.83
    Ĝ
    -0.83
    POSITIVE LOGITS
     appease
    1.21
     avoid
    1.14
     discourage
    1.13
     prevent
    1.06
     intimidate
    1.05
     conserve
    1.04
     distract
    1.04
     minimize
    1.02
     annoy
    1.02
     scare
    1.02
    Activations Density 0.218%

    No Known Activations