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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. 9-RES-JB
    11. 13650
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    Explanations

    words related to tuning or adjustment

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tune" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inals
    -0.73
    perse
    -0.66
    pha
    -0.64
    quez
    -0.63
    lene
    -0.62
    rast
    -0.62
    anmar
    -0.60
    oran
    -0.59
     Lak
    -0.59
    stract
    -0.57
    POSITIVE LOGITS
     tun
    0.84
     tuned
    0.84
     tuning
    0.84
     tune
    0.83
    fork
    0.81
     Tune
    0.81
     tunes
    0.78
    tun
    0.77
     horns
    0.74
    efully
    0.71
    Activations Density 0.075%

    No Known Activations