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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18406
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    Explanations

    personal pronouns and verbs indicating personal preferences or actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of emotions and personal experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĵĺ
    -0.68
     Appears
    -0.67
     Authors
    -0.66
    wikipedia
    -0.66
    iffin
    -0.66
     NX
    -0.65
    jri
    -0.63
    onic
    -0.63
    ESA
    -0.62
    bable
    -0.62
    POSITIVE LOGITS
     outnumbered
    0.72
     outwe
    0.72
     pree
    0.71
     menstru
    0.69
     darn
    0.68
     cumbers
    0.65
     insufficient
    0.63
     too
    0.63
     tremend
    0.62
     cheap
    0.62
    Activations Density 0.452%

    No Known Activations