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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. 8-RES-JB
    11. 4946
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    INDEX
    Explanations

    phrases indicating a directive to take action or pay attention

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or prompts for engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     advertised
    -0.71
     accompanies
    -0.68
     constitu
    -0.67
     agre
    -0.64
     livest
    -0.63
     brill
    -0.62
     orchestr
    -0.61
    etheless
    -0.60
     embr
    -0.60
     convol
    -0.59
    POSITIVE LOGITS
    aways
    1.54
    away
    1.13
    overs
    1.10
    prising
    0.95
     advantage
    0.92
     heed
    0.92
     care
    0.86
    over
    0.85
    uchi
    0.83
    offs
    0.81
    Activations Density 0.041%

    No Known Activations