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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. 9-RES-JB
    11. 17171
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    Explanations

    vague and incomplete sentences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to verification and reporting issues

    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
     bulls
    -0.63
     fitt
    -0.59
     champagne
    -0.59
    Sport
    -0.59
     litres
    -0.59
     nodd
    -0.57
     neighbour
    -0.56
     shenan
    -0.56
    abal
    -0.56
     bigger
    -0.56
    POSITIVE LOGITS
    ãĢij
    0.90
    )--
    0.86
    îĢ
    0.86
    ).[
    0.83
     è£ıè
    0.82
     );
    0.82
     ).
    0.80
     ].
    0.79
     ·
    0.79
     ),
    0.78
    Activations Density 0.693%

    No Known Activations