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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. 2328
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    INDEX
    Explanations

    words related to a positive or negative impact on specific entities or industries

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant events or outcomes

    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
     indist
    -0.69
     interchange
    -0.67
     dens
    -0.66
     pronouns
    -0.65
     equivalents
    -0.65
     rubbish
    -0.64
     exits
    -0.63
     ver
    -0.61
     imperson
    -0.61
     curtains
    -0.61
    POSITIVE LOGITS
    especially
    0.94
    particularly
    0.87
     Especially
    0.81
    Especially
    0.76
     ASA
    0.70
    payers
    0.69
     namely
    0.68
    utical
    0.68
    erning
    0.67
     Particularly
    0.67
    Activations Density 0.591%

    No Known Activations