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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. 7-RES-JB
    11. 21103
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    INDEX
    Explanations

    numerical values in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical ratings and financial aspects related to items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.79
     appell
    -0.77
    apego
    -0.77
    gom
    -0.77
    lihood
    -0.75
    sov
    -0.72
    finger
    -0.70
    verb
    -0.69
    glers
    -0.67
    gars
    -0.67
    POSITIVE LOGITS
     {*
    0.83
     USPS
    0.77
     Comcast
    0.76
     Seller
    0.74
     Cancel
    0.73
     Requires
    0.73
    ©¶æ¥µ
    0.69
     Sears
    0.69
     Maze
    0.68
     Rewards
    0.68
    Activations Density 0.039%

    No Known Activations