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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
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    Explanations

    words related to the Vatican

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Vatican" and related references

    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
    haw
    -0.80
    lasses
    -0.80
    rg
    -0.76
    resp
    -0.75
    served
    -0.75
    frames
    -0.74
    TRY
    -0.74
    ships
    -0.73
    merce
    -0.73
    pring
    -0.72
    POSITIVE LOGITS
     Vatican
    1.13
    atican
    0.88
    arium
    0.84
     pope
    0.81
     Galile
    0.81
     Pont
    0.78
     brass
    0.77
     canon
    0.75
    itary
    0.74
     priest
    0.73
    Activations Density 0.005%

    No Known Activations