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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. 3-RES-JB
    11. 16510
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    Explanations

    phrases related to debugging and code development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to debugging in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -0.79
    atche
    -0.78
    hon
    -0.75
    ometown
    -0.74
    soType
    -0.73
    ukemia
    -0.70
    enko
    -0.68
    aternity
    -0.68
     Debor
    -0.68
    arenthood
    -0.67
    POSITIVE LOGITS
    gers
    1.18
     Debug
    1.07
     debug
    1.06
     debugging
    0.91
    ging
    0.90
    Debug
    0.89
    debug
    0.84
    ged
    0.84
     debugger
    0.83
    ger
    0.80
    Activations Density 0.013%

    No Known Activations