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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. 9-RES-JB
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    JavaScript code snippets related to advertising

    oai_token-act-pair · gpt-3.5-turbo

    elements related to advertisements and their technical implementation in a digital context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gru
    -0.78
    cker
    -0.76
    anu
    -0.73
    cover
    -0.72
    hor
    -0.69
    fully
    -0.69
    wards
    -0.68
    mber
    -0.67
    mass
    -0.66
    xual
    -0.66
    POSITIVE LOGITS
     ..........
    0.99
    utherford
    0.76
    ¯¯¯¯¯¯¯¯
    0.72
    querque
    0.70
     ACTIONS
    0.70
    veyard
    0.68
     CITY
    0.68
    inances
    0.67
    VERTISEMENT
    0.66
    Skip
    0.66
    Activations Density 0.026%

    No Known Activations