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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. 5-RES-JB
    6. 12839
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    INDEX
    Explanations

    mentions of the company "Yahoo"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand Yahoo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Uriel
    -0.80
    ĸļ
    -0.79
    ingham
    -0.77
    nered
    -0.71
    ateral
    -0.69
     Frie
    -0.69
    FUL
    -0.69
    iard
    -0.68
    displayText
    -0.68
    skirts
    -0.67
    POSITIVE LOGITS
    ahoo
    0.92
    tags
    0.75
     Finance
    0.75
     Answers
    0.70
     View
    0.69
     News
    0.67
    Talk
    0.67
    tag
    0.63
     Groups
    0.63
     Sports
    0.63
    Activations Density 0.010%

    No Known Activations