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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. 2973
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    oai_token-act-pair · gpt-3.5-turbo

    specific instances of advertisements or promotional content

    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
    Jr
    -0.71
     Kubrick
    -0.71
     Stronghold
    -0.71
     Weir
    -0.66
     Bulg
    -0.61
     Kafka
    -0.61
     trout
    -0.60
     SOC
    -0.60
     wool
    -0.59
     crab
    -0.58
    POSITIVE LOGITS
    vertis
    1.40
    mittedly
    1.37
    vance
    1.34
    vantage
    1.28
    olescent
    1.27
    ept
    1.26
    elaide
    1.26
    ventures
    1.23
    option
    1.21
    olesc
    1.21
    Activations Density 0.028%

    No Known Activations