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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. 8-RES-JB
    11. 7158
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    Explanations

    abstract concepts related to proportion and proportionality

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to proportionality and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Rav
    -0.65
     reper
    -0.65
    DCS
    -0.65
     Brunswick
    -0.64
     Charter
    -0.64
     Harbor
    -0.62
     pity
    -0.61
    bies
    -0.60
     Redemption
    -0.59
     Valhalla
    -0.59
    POSITIVE LOGITS
    ately
    1.34
    ality
    1.30
    ate
    1.28
    ally
    1.28
    naire
    1.07
    ancy
    0.95
    xual
    0.93
    elly
    0.92
    als
    0.90
    ently
    0.89
    Activations Density 0.027%

    No Known Activations