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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. 15011
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    Explanations

    phrases related to solving problems or addressing issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to problem-solving and resolution

    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
    idth
    -0.63
     coordinates
    -0.61
     command
    -0.59
    icipated
    -0.58
    iew
    -0.58
    rics
    -0.57
    umbn
    -0.57
    ucha
    -0.56
    hedral
    -0.55
     FP
    -0.55
    POSITIVE LOGITS
     by
    0.90
    });
    0.78
     sooner
    0.76
     BY
    0.76
    SourceFile
    0.75
    By
    0.72
    .</
    0.71
    ĸļ
    0.70
    },"
    0.69
    IER
    0.68
    Activations Density 0.223%

    No Known Activations