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    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. 14835
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    Explanations

    commands or instructions related to software execution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to executing commands or tasks

    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
    este
    -0.74
    γ
    -0.66
    iers
    -0.63
     Alto
    -0.62
    aina
    -0.61
    kos
    -0.60
    FACE
    -0.60
    anton
    -0.60
    ijn
    -0.59
     Greater
    -0.59
    POSITIVE LOGITS
     execute
    1.01
     executes
    0.96
     executing
    0.93
     execution
    0.87
    eering
    0.87
     executed
    0.78
     executions
    0.76
    sequence
    0.76
    matically
    0.74
    Cmd
    0.73
    Activations Density 0.010%

    No Known Activations