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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. 7-RES-JB
    11. 17927
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    Explanations

    words related to underestimation and overestimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to estimation and assessment, particularly regarding underestimation and overestimation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alion
    -0.81
    agra
    -0.76
    ŃĶ
    -0.74
    ĪĴ
    -0.73
    ozo
    -0.72
    unal
    -0.71
    tein
    -0.71
    oard
    -0.71
    undy
    -0.71
    alde
    -0.71
    POSITIVE LOGITS
    imates
    0.95
     underest
    0.93
    imate
    0.92
     underestimate
    0.87
    imating
    0.87
     overest
    0.86
    imation
    0.83
     underestimated
    0.78
     expectations
    0.74
    ealous
    0.74
    Activations Density 0.050%

    No Known Activations