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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14636
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    Explanations

    the mention of third-party entities in text

    oai_token-act-pair · gpt-3.5-turbo

    references to third-party entities or services

    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
    veyard
    -0.76
    UTION
    -0.74
    staking
    -0.74
    ++++++++++++++++
    -0.72
    mini
    -0.68
    immers
    -0.65
    info
    -0.62
     Monsters
    -0.62
    relevant
    -0.58
    Quantity
    -0.58
    POSITIVE LOGITS
     baseman
    1.16
    rd
    1.01
    party
    0.94
     party
    0.93
    Party
    0.84
    ousand
    0.79
    irty
    0.79
     Party
    0.77
     Reich
    0.76
     parties
    0.75
    Activations Density 0.041%

    No Known Activations