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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. 0-RES-JB
    6. 3881
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    Explanations

    the word "Clear", which may have various contexts but shows a strong association with this neuron

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Clear" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hob
    -0.74
     mim
    -0.73
     dwar
    -0.73
     imaginary
    -0.70
     labou
    -0.70
     homage
    -0.66
     resp
    -0.66
    obos
    -0.66
     repr
    -0.65
     pun
    -0.65
    POSITIVE LOGITS
     Clear
    3.75
    Clear
    3.41
    clear
    2.36
     clear
    1.52
     CLE
    1.40
     clearance
    1.27
     clears
    1.25
    Cle
    1.25
     Bright
    1.18
     Plain
    1.13
    Activations Density 0.017%

    No Known Activations