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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. 9-RES-JB
    11. 19650
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    INDEX
    Explanations

    different types of professions

    oai_token-act-pair · gpt-3.5-turbo

    occupational roles and age descriptors of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uld
    -0.73
     domains
    -0.69
    ouls
    -0.66
     iPads
    -0.65
    direction
    -0.65
    iners
    -0.62
    plet
    -0.62
    inventoryQuantity
    -0.62
    Players
    -0.61
     verbs
    -0.60
    POSITIVE LOGITS
     extraord
    1.29
     specializing
    1.11
     whose
    1.08
     who
    1.01
     nicknamed
    0.94
     whom
    0.92
     residing
    0.91
    turned
    0.89
    whose
    0.86
     born
    0.86
    Activations Density 0.206%

    No Known Activations