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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. 0-RES-JB
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    Explanations

    mentions of attending events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attend" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DNA
    -0.68
    Cr
    -0.65
    oll
    -0.65
    monster
    -0.64
    lands
    -0.58
    danger
    -0.57
     Directive
    -0.57
     centuries
    -0.56
    illus
    -0.56
     cloning
    -0.56
    POSITIVE LOGITS
     attend
    3.58
     attends
    2.33
     Attend
    2.22
     attended
    2.12
     attending
    2.11
     attendance
    2.08
     attendees
    1.57
     participate
    1.57
     partake
    1.33
     participant
    1.17
    Activations Density 0.018%

    No Known Activations