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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
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    Explanations

    expressions of sincere emotions or sentiments

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and condolences

    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
     Trend
    -0.67
    Trend
    -0.66
    ILD
    -0.66
    lain
    -0.65
    agy
    -0.64
    angular
    -0.64
     Stun
    -0.63
     Mamm
    -0.62
    ropolis
    -0.62
     Kod
    -0.62
    POSITIVE LOGITS
     sincere
    0.96
     sincerely
    0.89
     heartfelt
    0.81
    soType
    0.80
    isSpecialOrderable
    0.79
     gratitude
    0.79
    leeve
    0.76
     sincerity
    0.74
    felt
    0.74
    galitarian
    0.74
    Activations Density 0.015%

    No Known Activations