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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. 8-RES-JB
    11. 11091
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    Explanations

    terms related to goals, objectives, and aims

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate objectives or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isms
    -0.71
    DragonMagazine
    -0.67
    iments
    -0.66
    wine
    -0.64
    Sport
    -0.63
    iste
    -0.63
    NESS
    -0.62
    knife
    -0.61
     IMAGES
    -0.61
     Amount
    -0.60
    POSITIVE LOGITS
     converting
    1.36
     preserving
    1.36
     keeping
    1.31
     restoring
    1.30
     introducing
    1.30
     creating
    1.30
     educating
    1.29
     integrating
    1.28
     ensuring
    1.27
     obtaining
    1.27
    Activations Density 0.194%

    No Known Activations