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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. 11-RES-JB
    11. 2354
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    INDEX
    Explanations

    instances where actions were not taken but should have been

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating missed opportunities or regretful actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Enhance
    -0.63
     Disorders
    -0.57
    isms
    -0.54
    ious
    -0.54
    inite
    -0.54
    ucks
    -0.54
     srfAttach
    -0.54
    draft
    -0.53
    orous
    -0.53
     Unlock
    -0.52
    POSITIVE LOGITS
     gotten
    1.35
     waited
    1.34
     listened
    1.26
     guessed
    1.25
     done
    1.22
     stayed
    1.22
     been
    1.20
     gone
    1.18
     reacted
    1.16
     avoided
    1.12
    Activations Density 0.095%

    No Known Activations