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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

    events or actions related to attending something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attending" and related terms

    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
     takedown
    -0.70
     smear
    -0.66
     stretch
    -0.64
    rid
    -0.64
    imar
    -0.64
    isec
    -0.61
    ictionary
    -0.60
    rep
    -0.59
    erb
    -0.59
    eware
    -0.58
    POSITIVE LOGITS
     attending
    3.38
     attend
    1.91
     participating
    1.81
     attends
    1.70
     attendance
    1.66
     attended
    1.64
     visiting
    1.63
     Attend
    1.52
     graduating
    1.52
     sponsoring
    1.45
    Activations Density 0.014%

    No Known Activations