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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. 6-RES-JB
    11. 7106
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating delayed actions or the need to revisit something later

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    owship
    -0.82
    roots
    -0.81
    etts
    -0.73
    ³³³³³³³³³³³³³³³³
    -0.73
    ³³³³³³³³
    -0.71
    rail
    -0.69
    dust
    -0.68
    toe
    -0.66
    oft
    -0.65
     Shack
    -0.64
    POSITIVE LOGITS
     delete
    0.72
     Invalid
    0.69
     than
    0.69
     intervals
    0.68
    ality
    0.68
     mornings
    0.67
     editions
    0.63
     versions
    0.63
    iator
    0.62
    anyl
    0.62
    Activations Density 0.009%

    No Known Activations