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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. 4-RES-JB
    6. 5835
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    Explanations

    words related to investigation, examination, and scrutiny

    oai_token-act-pair · gpt-3.5-turbo

    words related to processes of examination, assessment, or analysis

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

    No Comments

    Negative Logits
     forgetting
    -0.66
     sustaining
    -0.65
     borrowing
    -0.65
    cakes
    -0.62
    uploads
    -0.62
    pite
    -0.61
     maximal
    -0.60
     unchecked
    -0.60
     guarant
    -0.59
     unification
    -0.59
    POSITIVE LOGITS
    andum
    0.79
     Probe
    0.76
     Eval
    0.75
    VIEW
    0.72
     Pens
    0.70
     Aires
    0.70
    Device
    0.70
    ij士
    0.68
     Procedures
    0.67
    ostics
    0.67
    Activations Density 0.106%

    No Known Activations