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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. 6581
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    INDEX
    Explanations

    words related to public statements or comments made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "remarks" and related commentary

    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
    ccording
    -0.69
     Rescue
    -0.66
    yrs
    -0.65
     Orange
    -0.63
    fruit
    -0.63
     Cav
    -0.61
     McCann
    -0.59
     Recon
    -0.59
    ntil
    -0.58
    ope
    -0.58
    POSITIVE LOGITS
     remarks
    1.03
     comments
    0.87
    mith
    0.80
     uttered
    0.80
     dispar
    0.77
     aloud
    0.77
    ariat
    0.76
    ault
    0.75
    ä¹ĭ
    0.74
     briefings
    0.73
    Activations Density 0.039%

    No Known Activations