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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. 4861
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    Explanations

    phrases related to removal or elimination of something unwanted

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political or systematic removal and cleansing actions

    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
    emate
    -0.83
    ccording
    -0.73
    nan
    -0.73
     Entry
    -0.67
    accompan
    -0.67
    rame
    -0.66
     Carney
    -0.64
    Miller
    -0.64
    Pros
    -0.63
    PRES
    -0.63
    POSITIVE LOGITS
     purge
    1.04
     exorc
    0.92
     rite
    0.78
    utic
    0.72
     bapt
    0.69
     Skydragon
    0.67
     evangel
    0.67
    uggle
    0.67
    owship
    0.67
    isitions
    0.66
    Activations Density 0.041%

    No Known Activations