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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. 22867
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    Explanations

    words related to refinement and sophistication

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "refine" and its variations

    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
    shr
    -0.75
    groups
    -0.71
    gap
    -0.70
    LAN
    -0.70
    ESA
    -0.69
    MN
    -0.67
    WM
    -0.63
    Ĥ
    -0.63
     ESA
    -0.63
    iland
    -0.63
    POSITIVE LOGITS
     refining
    1.07
     refined
    1.05
     refinement
    0.98
     refine
    0.94
    ineries
    0.89
    inement
    0.88
    issance
    0.86
    ocity
    0.85
     tremend
    0.85
     Seym
    0.82
    Activations Density 0.010%

    No Known Activations