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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. 7-RES-JB
    11. 13542
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    Explanations

    movements and changes in physical locations or structures

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of movement and dynamics within physical and natural environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.82
    ourt
    -0.70
     Nation
    -0.67
     Consent
    -0.65
    IED
    -0.64
    çīĪ
    -0.64
    byter
    -0.64
     Raw
    -0.63
     privately
    -0.62
    APD
    -0.62
    POSITIVE LOGITS
    wards
    1.14
     unpredict
    0.92
    amorph
    0.88
     uncontroll
    0.84
     mysteriously
    0.84
     infinity
    0.82
     engulf
    0.79
     equilibrium
    0.78
     decay
    0.77
    flo
    0.77
    Activations Density 0.557%

    No Known Activations