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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. 12823
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    Explanations

    words related to superstition

    oai_token-act-pair · gpt-3.5-turbo

    words related to superstition

    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
    EStream
    -0.93
    20439
    -0.79
    IRO
    -0.77
    assetsadobe
    -0.75
    hyde
    -0.73
    hire
    -0.70
    senal
    -0.66
     Sending
    -0.66
    stretched
    -0.66
     Lovely
    -0.66
    POSITIVE LOGITS
    itious
    1.21
     superst
    1.20
    arily
    0.96
    ructure
    0.95
    ition
    0.86
    archy
    0.80
     worship
    0.77
     vener
    0.76
    inent
    0.76
     idol
    0.76
    Activations Density 0.012%

    No Known Activations