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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. 1438
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    Explanations

    phrases related to importance or priority

    oai_token-act-pair · gpt-3.5-turbo

    key phrases that indicate issues of high importance or priority

    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
    usalem
    -0.84
    apons
    -0.76
    onyms
    -0.76
    ampires
    -0.74
    yss
    -0.74
    orks
    -0.74
    icro
    -0.70
    renches
    -0.69
    agate
    -0.68
    odes
    -0.68
    POSITIVE LOGITS
     unto
    0.90
     reliever
    0.82
     pursued
    0.77
     nowadays
    0.71
     breaker
    0.71
    bender
    0.70
    stay
    0.69
     occurrence
    0.69
     fixture
    0.68
     perpetrated
    0.66
    Activations Density 0.227%

    No Known Activations