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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. 21265
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    Explanations

    lists or enumerations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities involved in security or investigation contexts

    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
    .�
    -0.96
    .''
    -0.96
    .</
    -0.84
    .ãĢį
    -0.83
    .''.
    -0.82
    ."
    -0.82
    .'"
    -0.81
    ãĢĤ
    -0.76
    .","
    -0.76
    ))))
    -0.72
    POSITIVE LOGITS
    raq
    0.72
    rar
    0.67
    alys
    0.67
    staking
    0.65
    ileaks
    0.63
    osponsors
    0.61
     confidential
    0.61
    coded
    0.60
    uine
    0.59
     authorised
    0.59
    Activations Density 1.713%

    No Known Activations