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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. 4-RES-JB
    11. 16632
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    Explanations

    phrases related to communication or contact

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize communication and connection with others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    SpaceEngineers
    -0.78
     Parenthood
    -0.72
    asketball
    -0.69
    adiator
    -0.69
     [|
    -0.68
    sbm
    -0.68
    ordan
    -0.66
     Clown
    -0.66
    DEF
    -0.63
    VB
    -0.63
    POSITIVE LOGITS
    ibility
    0.97
    stones
    0.83
    ysis
    0.83
    stone
    0.80
     contact
    0.74
    wic
    0.73
    ariat
    0.72
    iquette
    0.70
     touch
    0.68
    ibly
    0.67
    Activations Density 0.008%

    No Known Activations