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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. 10-RES-JB
    11. 24505
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    Explanations

    phrases made up of special characters and gibberish symbols

    oai_token-act-pair · gpt-3.5-turbo

    special character sequences or terms commonly associated with technical or scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.72
     sticking
    -0.63
     UCHIJ
    -0.63
     Unloaded
    -0.62
     saturated
    -0.61
     graduating
    -0.60
     arsen
    -0.59
     imported
    -0.58
    ked
    -0.58
     pulp
    -0.58
    POSITIVE LOGITS
    enment
    0.84
    ctions
    0.79
    ement
    0.78
    ements
    0.76
    ctive
    0.72
    illance
    0.69
    earances
    0.67
    oration
    0.67
    ulum
    0.66
    tion
    0.65
    Activations Density 0.270%

    No Known Activations