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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. 6-RES-JB
    11. 24439
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    Explanations

    phrases related to foundational aspects or origins

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to foundational concepts or principles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opol
    -0.78
    quished
    -0.74
    umbn
    -0.73
    jee
    -0.72
    wright
    -0.70
    enaries
    -0.67
     anecd
    -0.67
    abbit
    -0.66
    neau
    -0.66
    heim
    -0.66
    POSITIVE LOGITS
     belief
    0.78
     Belief
    0.75
     Fundamental
    0.73
     beliefs
    0.71
     civilizations
    0.68
     bedrock
    0.68
     competence
    0.67
     disbelief
    0.65
     civilization
    0.65
     tenets
    0.65
    Activations Density 0.226%

    No Known Activations