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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
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    Explanations

    terms related to the validity, reliability, legality, effectiveness, viability, safety, efficacy, and feasibility of different concepts or items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concepts of validity, legality, effectiveness, and viability 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
    Pic
    -0.77
     rgb
    -0.70
    inis
    -0.69
    yton
    -0.69
    alus
    -0.64
    kson
    -0.64
     Vent
    -0.63
    iverse
    -0.62
    bery
    -0.61
     strokes
    -0.61
    POSITIVE LOGITS
    acies
    1.02
    ability
    0.89
    worthiness
    0.86
     mismatch
    0.86
    ascript
    0.85
     ratings
    0.79
    ulner
    0.79
    abilities
    0.78
    acy
    0.77
    iness
    0.77
    Activations Density 0.092%

    No Known Activations