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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. 6-RES-JB
    11. 18933
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    Explanations

    mentions of specific electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    combinations of phrases and numbers, particularly related to technology and data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ideshow
    -0.69
     motive
    -0.67
     motives
    -0.65
     appetite
    -0.64
    erie
    -0.64
     difference
    -0.62
     mum
    -0.61
     om
    -0.59
     unp
    -0.58
    isy
    -0.57
    POSITIVE LOGITS
    soDeliveryDate
    0.87
     thereby
    0.76
    channelAvailability
    0.75
    thus
    0.74
     Noir
    0.73
     INCLUD
    0.73
    Ĥ¬
    0.72
    ModLoader
    0.72
     namely
    0.71
     aka
    0.69
    Activations Density 0.611%

    No Known Activations