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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. 16021
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    Explanations

    words related to performance evaluation, specifically focusing on the concept of doing well or better

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evaluations of performance or quality

    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
    agine
    -0.72
    udicrous
    -0.66
    nis
    -0.65
    ãĤ¦ãĤ¹
    -0.64
     scope
    -0.60
    ceivable
    -0.59
     Blazing
    -0.57
     rupture
    -0.57
    edi
    -0.56
    ãĥ¯ãĥ³
    -0.56
    POSITIVE LOGITS
     academ
    0.97
     economically
    0.88
     overall
    0.82
     financially
    0.82
     indoors
    0.80
     domestically
    0.77
     abroad
    0.77
     athlet
    0.76
     outdoors
    0.74
     defensively
    0.73
    Activations Density 0.154%

    No Known Activations