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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. 3-RES-JB
    11. 20805
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    Explanations

    references to financial exchanges, particularly the "Securities and Exchange Commission"

    oai_token-act-pair · gpt-3.5-turbo

    references to various exchanges or regulatory bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    éĹĺ
    -0.74
    Ä
    -0.74
    Äĩ
    -0.72
    EMOTE
    -0.71
     Meier
    -0.71
    çİĭ
    -0.69
    udeb
    -0.69
    avid
    -0.69
    HCR
    -0.69
    oca
    -0.68
    POSITIVE LOGITS
     Exchange
    1.12
    ptives
    0.87
     mailbox
    0.82
    ertodd
    0.82
    ratulations
    0.81
    prises
    0.76
    prise
    0.74
    xual
    0.74
     exchange
    0.73
     Royale
    0.72
    Activations Density 0.013%

    No Known Activations