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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. 4385
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    Explanations

    words related to strength, success, and emphasis

    oai_token-act-pair · gpt-3.5-turbo

    words related to sales and endorsements

    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
     è£ıè
    -0.72
    drm
    -0.72
    Wan
    -0.67
    ulhu
    -0.66
    Cru
    -0.65
     guiIcon
    -0.65
    \\\\\\\\
    -0.62
     Pell
    -0.62
    CS
    -0.59
     Alonso
    -0.59
    POSITIVE LOGITS
    xual
    0.78
    earch
    0.74
    ction
    0.74
    ency
    0.70
     paternity
    0.65
    joining
    0.65
    TOP
    0.62
    enment
    0.62
    abilia
    0.62
    anty
    0.61
    Activations Density 0.047%

    No Known Activations