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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. 13292
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    Explanations

    phrases related to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "on"

    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
    ventus
    -0.66
    inx
    -0.64
    Dist
    -0.64
    çĶ°
    -0.63
     IPM
    -0.62
    OTS
    -0.62
     [&
    -0.62
    Definition
    -0.62
    INESS
    -0.62
    ####
    -0.60
    POSITIVE LOGITS
     behalf
    1.55
     campuses
    1.29
     occasion
    1.23
    erous
    1.14
     campus
    1.12
    shore
    1.12
     occasions
    1.05
     rooft
    1.05
     Sundays
    1.02
    etime
    1.02
    Activations Density 0.236%

    No Known Activations