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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. 8337
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    INDEX
    Explanations

    phrases related to stated positions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular stance or viewpoint

    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
    Not in Any Lists

    No Comments

    Negative Logits
    STON
    -0.77
    displayText
    -0.73
    Interstitial
    -0.70
    rosso
    -0.66
     beware
    -0.65
    soever
    -0.64
     disapp
    -0.62
    oa
    -0.62
    ebook
    -0.61
    burn
    -0.60
    POSITIVE LOGITS
     positions
    1.21
     position
    1.20
    holders
    0.97
    idon
    0.90
    position
    0.89
    iton
    0.87
    Position
    0.86
    holder
    0.84
     quo
    0.81
    osition
    0.80
    Activations Density 0.023%

    No Known Activations