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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. 14641
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    Explanations

    words related to proper nouns and specific names, likely with an emphasis on a certain syllable or sequence within the names

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Ax"

    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
    isSpecialOrderable
    -0.69
     finalists
    -0.67
    perature
    -0.67
    ishable
    -0.61
     Shades
    -0.59
     pestic
    -0.59
     medically
    -0.58
     psychiat
    -0.58
    âĺħâĺħ
    -0.58
     unfor
    -0.57
    POSITIVE LOGITS
    xon
    1.29
    xus
    1.02
    endale
    0.99
    xes
    0.98
    illary
    0.97
    es
    0.96
    eus
    0.90
    seed
    0.89
    iom
    0.89
    posure
    0.88
    Activations Density 0.010%

    No Known Activations