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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. 7-RES-JB
    11. 11434
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    Explanations

    questions starting with "What is" or "What's" and followed by a specific topic or concept

    oai_token-act-pair · gpt-3.5-turbo

    questions or phrases that indicate inquiries about various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tex
    -0.88
    alde
    -0.82
    mares
    -0.82
    icates
    -0.80
    arm
    -0.79
    tsy
    -0.78
    cuts
    -0.77
    skirts
    -0.77
    tails
    -0.73
    killed
    -0.71
    POSITIVE LOGITS
     difference
    0.92
     greatest
    0.81
    ?",
    0.78
     likelihood
    0.76
     best
    0.74
     implication
    0.74
     coolest
    0.73
     quickest
    0.73
     resultant
    0.73
     holiest
    0.73
    Activations Density 0.095%

    No Known Activations