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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. 0-RES-JB
    11. 6310
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    Explanations

    words related to monopolies and validation, specifically focusing on phrases involving "fluoridation" and "waffles."

    oai_token-act-pair · gpt-3.5-turbo

    words related to monopolies and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atum
    -0.71
     att
    -0.69
     Aval
    -0.68
     mark
    -0.67
     hon
    -0.67
     HELP
    -0.63
     caution
    -0.63
     logged
    -0.63
    çĶ°
    -0.61
     latitude
    -0.60
    POSITIVE LOGITS
    opoly
    3.76
    affles
    1.39
    idation
    1.30
    osion
    1.11
    opol
    1.07
    atin
    1.06
    archy
    1.04
    uria
    0.99
    cation
    0.97
    assic
    0.91
    Activations Density 0.012%

    No Known Activations