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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. 14370
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    )?
    -0.60
    ertodd
    -0.60
    }}}
    -0.57
    maxwell
    -0.55
     Notting
    -0.54
    )!
    -0.53
     charism
    -0.52
     Carbuncle
    -0.51
    };
    -0.51
    }\
    -0.50
    POSITIVE LOGITS
     belonging
    0.63
     relating
    0.59
     associated
    0.58
     regarding
    0.58
     pertaining
    0.57
     related
    0.56
     involving
    0.56
     aboard
    0.56
     emanating
    0.55
     onto
    0.54
    Activations Density 1.106%

    No Known Activations