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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. 3343
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    Explanations

    phrases related to tagging or labeling objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    the word "agged" and its variations

    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
    arios
    -0.68
     conclud
    -0.66
    ibur
    -0.63
    fort
    -0.62
     speculate
    -0.61
    HAEL
    -0.61
     transpl
    -0.60
     reper
    -0.59
     ende
    -0.59
    ourt
    -0.59
    POSITIVE LOGITS
    ging
    0.79
    agged
    0.78
    isoft
    0.76
    gers
    0.75
    ged
    0.73
    nesses
    0.71
    oon
    0.71
    ration
    0.70
    rants
    0.70
    zag
    0.70
    Activations Density 0.004%

    No Known Activations