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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. 4-RES-JB
    11. 24041
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    Explanations

    words related to running or rapid movement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verbs "ran" and "run" in various contexts

    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
    ortium
    -0.87
    olia
    -0.78
    eous
    -0.75
    urers
    -0.71
    omical
    -0.71
    iasco
    -0.65
    ificent
    -0.65
     Aires
    -0.64
    EMP
    -0.62
     plur
    -0.62
    POSITIVE LOGITS
    escape
    0.98
    aways
    0.88
    ners
    0.87
    running
    0.84
     Runner
    0.83
    gs
    0.81
    swick
    0.81
     rampant
    0.77
    dy
    0.77
     RUN
    0.75
    Activations Density 0.041%

    No Known Activations