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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. 3-RES-JB
    11. 6289
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    Explanations

    words related to apologies or expressing regret

    oai_token-act-pair · gpt-3.5-turbo

    terms related to apologies and apologetic behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FISA
    -0.77
    Downloadha
    -0.69
     Boh
    -0.65
     OC
    -0.65
     Tiger
    -0.65
    enegger
    -0.64
    STEM
    -0.64
    ORGE
    -0.63
     Windsor
    -0.63
    PRES
    -0.63
    POSITIVE LOGITS
    etics
    1.42
    etic
    1.33
    etically
    1.28
    ists
    1.08
    acy
    1.07
    ogenic
    0.99
    ogen
    0.98
    izes
    0.97
    isers
    0.97
    ogly
    0.93
    Activations Density 0.008%

    No Known Activations