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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. 3-RES-JB
    11. 12453
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    INDEX
    Explanations

    summaries or recaps of events or information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to summarizing content or providing recaps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    train
    -0.75
     Mustang
    -0.66
     Wee
    -0.65
     Trafford
    -0.58
    Fish
    -0.57
     Breed
    -0.56
     Prix
    -0.56
     exerted
    -0.56
     marriage
    -0.56
    mouth
    -0.55
    POSITIVE LOGITS
     recap
    1.27
    ital
    1.18
     Recap
    0.97
    ilitation
    0.87
    imation
    0.86
    spective
    0.86
    ocial
    0.82
    enda
    0.82
    apon
    0.82
    itial
    0.81
    Activations Density 0.010%

    No Known Activations