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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. 16347
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    Explanations

    the name "Hen" accompanied by various words and contexts

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "hen."

    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
    BILITIES
    -0.69
    Äĩ
    -0.68
    ãĥ£
    -0.64
    WD
    -0.64
    ``
    -0.63
    ````
    -0.63
    ño
    -0.63
    ORD
    -0.62
    oti
    -0.59
    angled
    -0.58
    POSITIVE LOGITS
    cyclopedia
    1.30
    icals
    1.04
    nai
    1.03
    ochond
    0.98
    ergy
    0.96
    zhen
    0.94
    thal
    0.90
    otype
    0.88
    cil
    0.88
    sea
    0.87
    Activations Density 0.049%

    No Known Activations