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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. 11298
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    Explanations

    nouns related to purchases or acquisitions

    oai_token-act-pair · gpt-3.5-turbo

    items that are commonly bought or sold, particularly in various market contexts

    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
    lishes
    -0.71
    ression
    -0.61
     noise
    -0.61
     scrimmage
    -0.60
    jury
    -0.60
     rapport
    -0.57
    yip
    -0.57
     onlook
    -0.57
    dding
    -0.56
    ealous
    -0.56
    POSITIVE LOGITS
     cheaply
    0.89
     licences
    0.86
     abroad
    0.73
     licenses
    0.72
    netflix
    0.72
     belonging
    0.70
     valued
    0.69
    coins
    0.67
    soever
    0.67
     wholesale
    0.67
    Activations Density 0.490%

    No Known Activations