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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. 5155
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    Explanations

    adjectives denoting cultural or ethnic identities

    oai_token-act-pair · gpt-3.5-turbo

    references to different ethnic and religious identities

    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
    initions
    -0.69
     overhe
    -0.61
     itch
    -0.61
    gency
    -0.60
    inventoryQuantity
    -0.58
     Sut
    -0.58
    essage
    -0.57
     farewell
    -0.57
    prise
    -0.56
    icrobial
    -0.56
    POSITIVE LOGITS
     enough
    0.86
    listed
    0.84
    eligible
    0.79
    enough
    0.75
    ophobic
    0.75
     anyway
    0.74
    isible
    0.73
    wired
    0.70
    .ãĢį
    0.70
    .''
    0.70
    Activations Density 0.203%

    No Known Activations