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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. 22873
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    Explanations

    words related to comparison and proportion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to proportionality and ratios

    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
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    No Comments

    Negative Logits
     Valhalla
    -0.69
     reper
    -0.63
    DCS
    -0.62
    rique
    -0.61
     Quest
    -0.60
     Journals
    -0.59
    bies
    -0.59
     Speedway
    -0.59
    rosis
    -0.59
     Riders
    -0.58
    POSITIVE LOGITS
    ately
    1.47
    ate
    1.34
    ality
    1.29
    ally
    1.25
    ently
    0.95
    elly
    0.93
    alties
    0.92
    naire
    0.88
    imately
    0.86
    ationally
    0.85
    Activations Density 0.040%

    No Known Activations