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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. 1-RES-JB
    11. 23242
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    Explanations

    words related to superstitions and superstars

    oai_token-act-pair · gpt-3.5-turbo

    references to superstition and superstitious beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.89
    20439
    -0.77
    gger
    -0.72
    EStream
    -0.72
    stretched
    -0.71
    Bloomberg
    -0.71
     Sending
    -0.68
    hair
    -0.67
    ãĥ¼ãĥ³
    -0.67
    ãģ¦
    -0.67
    POSITIVE LOGITS
     superst
    1.50
    itious
    1.06
    ructure
    0.87
    arily
    0.85
     idol
    0.84
     idols
    0.81
    ition
    0.79
     vener
    0.78
     induct
    0.77
    archy
    0.76
    Activations Density 0.007%

    No Known Activations