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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. 22162
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    Explanations

    the word "norm" followed by a high activation score

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "norm" and its variations

    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
     Ashes
    -0.65
    UGH
    -0.65
    hani
    -0.64
     Shades
    -0.61
    OTS
    -0.60
     Tea
    -0.60
    cig
    -0.59
     Kush
    -0.59
     Bowl
    -0.57
    lder
    -0.57
    POSITIVE LOGITS
    ativity
    1.02
    ality
    1.00
    norm
    0.85
    als
    0.84
    atively
    0.77
     norm
    0.76
    ally
    0.76
    mble
    0.74
    alties
    0.74
    essage
    0.73
    Activations Density 0.011%

    No Known Activations