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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6776
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    Explanations

    technical terms and jargon related to various fields of study

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific concepts and phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stals
    -0.76
     IMAGES
    -0.74
    amins
    -0.71
    iences
    -0.69
     Commodore
    -0.69
    ovies
    -0.68
     Forums
    -0.68
    rils
    -0.67
    yrights
    -0.67
    ses
    -0.65
    POSITIVE LOGITS
     causation
    0.99
     versus
    0.96
     exhaustion
    0.94
     fallacy
    0.94
     neutrality
    0.93
    iosis
    0.92
     substitution
    0.91
     depletion
    0.88
     convergence
    0.88
     mismatch
    0.87
    Activations Density 0.338%

    No Known Activations