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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. 9-RES-JB
    11. 19653
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    Explanations

    words related to effectiveness or efficiency

    oai_token-act-pair · gpt-3.5-turbo

    terms related to effectiveness and efficient strategies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erous
    -0.67
    loads
    -0.67
    yg
    -0.64
    ota
    -0.62
    forest
    -0.61
    yard
    -0.61
    Hop
    -0.61
    fty
    -0.60
    worthy
    -0.60
    bone
    -0.59
    POSITIVE LOGITS
     altru
    1.11
     deterrent
    0.89
    姫
    0.79
    iveness
    0.79
     coping
    0.71
    ative
    0.70
    cheat
    0.70
     communication
    0.70
     contraception
    0.70
    ional
    0.70
    Activations Density 0.061%

    No Known Activations