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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 13525
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    Explanations

    words related to opportunities or opposing forces

    oai_token-act-pair · gpt-3.5-turbo

    words related to opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Newport
    -0.71
     Copenhagen
    -0.66
    ãģ®å®
    -0.65
     immersion
    -0.62
     Penal
    -0.62
    GO
    -0.61
     detector
    -0.59
     fine
    -0.59
     calcium
    -0.59
    GER
    -0.59
    POSITIVE LOGITS
    ortun
    1.50
    osite
    1.35
    onent
    1.34
    osition
    1.30
    onents
    1.13
    opp
    1.09
    odcast
    1.02
    olicy
    0.98
    osing
    0.97
    enf
    0.93
    Activations Density 0.004%

    No Known Activations