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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. 20072
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    Explanations

    phrases related to significant entities or topics such as "Big Four," "Big Data," and "Big Oil."

    oai_token-act-pair · gpt-3.5-turbo

    references to large corporations and their influence

    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
    isconsin
    -0.72
    iment
    -0.65
    DEP
    -0.63
    owder
    -0.63
     psychiat
    -0.61
     subp
    -0.58
     NTS
    -0.57
     CET
    -0.57
     inquest
    -0.57
     Seym
    -0.56
    POSITIVE LOGITS
    Winged
    0.74
    ructose
    0.66
    ————————
    0.66
    buster
    0.65
    ocular
    0.64
    ervatives
    0.63
     Bust
    0.62
     Mahjong
    0.61
     Bundle
    0.61
    culosis
    0.60
    Activations Density 0.089%

    No Known Activations