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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. 10-RES-JB
    11. 12323
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    INDEX
    Explanations

    phrases encouraging or instructing to take action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage action or examination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Develop
    -0.66
     wart
    -0.63
     advertised
    -0.59
     explan
    -0.59
     coerc
    -0.59
     psychiat
    -0.58
    ese
    -0.57
     dissatisf
    -0.56
    tick
    -0.55
    bell
    -0.55
    POSITIVE LOGITS
     advantage
    1.29
    aways
    1.15
     heed
    1.08
     precautions
    1.03
     care
    1.03
     aback
    0.97
     Advantage
    0.96
     note
    0.95
     notice
    0.93
     pity
    0.91
    Activations Density 0.063%

    No Known Activations