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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. 6-RES-JB
    6. 8609
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    Explanations

    mentions of and discussions around the concept of 'fake news'

    oai_token-act-pair · gpt-3.5-turbo

    tokens indicating the end of a text or section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dialogue
    -0.63
    alties
    -0.62
     ãĢĮ
    -0.60
    rises
    -0.59
     KR
    -0.59
    AAF
    -0.59
     Leilan
    -0.58
     Keller
    -0.57
    essage
    -0.56
    immer
    -0.56
    POSITIVE LOGITS
    usterity
    0.97
    tenance
    0.94
    "
    0.87
    `,
    0.86
    »
    0.83
    terday
    0.83
    \)
    0.82
    "!
    0.82
    '?
    0.81
    /,
    0.80
    Activations Density 0.308%

    No Known Activations