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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. 18032
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    Explanations

    passages related to thoughts and opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal thoughts and reflections

    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
    ale
    -0.73
    arbon
    -0.71
    ector
    -0.64
    lete
    -0.62
    ifer
    -0.62
    ALE
    -0.61
     dated
    -0.60
    accessible
    -0.58
    mounted
    -0.58
    eller
    -0.57
    POSITIVE LOGITS
     thoughts
    3.72
     Thoughts
    2.68
     feelings
    1.70
     reflections
    1.67
     sentiments
    1.64
     ideas
    1.60
     opinions
    1.53
     impressions
    1.44
     emotions
    1.42
     memories
    1.40
    Activations Density 0.014%

    No Known Activations