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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. 9-RES-JB
    11. 17765
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    Explanations

    sentences related to giving instructions or sharing information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions related to assistance or involvement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RIC
    -0.73
    ric
    -0.68
     McMaster
    -0.67
    eric
    -0.67
     Rican
    -0.67
    rick
    -0.66
     Cummings
    -0.66
     Scor
    -0.65
    314
    -0.65
    ulic
    -0.64
    POSITIVE LOGITS
     place
    0.80
     places
    0.73
    Cause
    0.73
    meaning
    0.72
    POSE
    0.69
     Place
    0.68
    places
    0.66
     meaning
    0.66
     Places
    0.66
     pot
    0.66
    Activations Density 0.503%

    No Known Activations