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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. 13583
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest setting aside certain topics or issues

    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
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    No Comments

    Negative Logits
    prus
    -0.75
    ATES
    -0.67
    Anne
    -0.62
    andro
    -0.62
    eway
    -0.61
    blooded
    -0.61
    ached
    -0.61
    Cola
    -0.60
    lear
    -0.60
    raz
    -0.59
    POSITIVE LOGITS
    heid
    0.80
    icals
    0.71
     objections
    0.68
     aside
    0.67
    ICAL
    0.67
    skirts
    0.67
    raints
    0.66
     Faw
    0.65
    ...]
    0.65
    rompt
    0.64
    Activations Density 0.016%

    No Known Activations