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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. 7-RES-JB
    11. 9844
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest omitting or bypassing sections of text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateur
    -0.79
    onial
    -0.78
    rador
    -0.75
    eer
    -0.73
    rations
    -0.71
    ator
    -0.68
    rum
    -0.66
     detrim
    -0.65
    raq
    -0.64
    rator
    -0.64
    POSITIVE LOGITS
    jack
    0.78
     ahead
    0.75
     Skip
    0.72
    poke
    0.71
    uled
    0.70
    lihood
    0.68
     altogether
    0.68
     skipping
    0.66
    xon
    0.66
     Steps
    0.64
    Activations Density 0.022%

    No Known Activations