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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. 0-RES-JB
    11. 10163
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    Explanations

    adjectives related to seriousness or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "earnest" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iler
    -0.69
    raf
    -0.66
    split
    -0.66
    idal
    -0.65
    plates
    -0.64
    poral
    -0.64
    raz
    -0.63
    yle
    -0.61
    ylan
    -0.61
    ides
    -0.61
    POSITIVE LOGITS
     earnest
    4.05
     diligently
    1.12
     solemn
    0.97
     anew
    0.93
     enthusiastically
    0.93
     ferv
    0.90
     excruciating
    0.87
     unab
    0.85
     righteousness
    0.85
     vain
    0.85
    Activations Density 0.025%

    No Known Activations