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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. 3-RES-JB
    11. 6422
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    INDEX
    Explanations

    loops or looping actions

    oai_token-act-pair · gpt-3.5-turbo

    references to looping structures or cycles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.85
    ALE
    -0.67
    imens
    -0.67
    hiro
    -0.66
    xious
    -0.65
    rd
    -0.64
    rament
    -0.64
    ilings
    -0.63
     deviations
    -0.61
     shortages
    -0.60
    POSITIVE LOGITS
     loop
    0.90
     loops
    0.85
    worms
    0.84
    ingly
    0.79
    wheel
    0.79
    worm
    0.78
    strap
    0.78
    back
    0.77
    ieu
    0.75
    ed
    0.74
    Activations Density 0.005%

    No Known Activations