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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific entities, particularly places and important terms in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    quartered
    -0.50
     Mehran
    -0.47
     thanked
    -0.44
    bodied
    -0.43
     baseman
    -0.42
    pired
    -0.41
     attacker
    -0.41
    htaking
    -0.41
     addicted
    -0.41
    ariat
    -0.41
    POSITIVE LOGITS
    +.
    0.89
    ().
    0.85
    $.
    0.78
    _.
    0.77
    '.
    0.72
    }.
    0.69
    *.
    0.67
    .[
    0.67
     or
    0.67
    ).
    0.65
    Activations Density 1.087%

    No Known Activations