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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. 11691
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    Explanations

    large numerical amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to opinions and percentages

    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
     Feder
    -0.64
     Cloak
    -0.58
    rina
    -0.57
     Vessel
    -0.55
    rote
    -0.55
    roit
    -0.54
    ifice
    -0.54
     Facilities
    -0.54
     Hide
    -0.53
     accompanying
    -0.53
    POSITIVE LOGITS
    $$
    0.86
     hindsight
    0.81
    +)
    0.78
    illion
    0.78
    +,
    0.77
    @#
    0.77
    =$
    0.76
    ?".
    0.76
    +
    0.76
    ++++
    0.75
    Activations Density 0.470%

    No Known Activations