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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. 10-RES-JB
    11. 3163
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    INDEX
    Explanations

    phrases related to reports, assessments, and observations

    oai_token-act-pair · gpt-3.5-turbo

    statements or findings in official reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inem
    -0.84
    é¾
    -0.74
    icio
    -0.69
    ãģ¾
    -0.69
    ograp
    -0.69
    zzy
    -0.68
    ocent
    -0.68
     Himself
    -0.67
    artist
    -0.66
    izont
    -0.66
    POSITIVE LOGITS
     "âĢ¦
    0.90
     deficiencies
    0.86
     "[
    0.83
     "...
    0.83
     inadequate
    0.82
     respondents
    0.82
     shortcomings
    0.76
     excessive
    0.76
     disparities
    0.75
     gaps
    0.75
    Activations Density 0.215%

    No Known Activations