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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. 0-RES-JB
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    Explanations

    mentions of the location "Santa" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Santa" or related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    views
    -0.75
     LH
    -0.74
    lessness
    -0.73
    Column
    -0.70
    doms
    -0.68
    Foreign
    -0.67
     fractures
    -0.67
    [_
    -0.66
     fracture
    -0.64
     dyn
    -0.64
    POSITIVE LOGITS
     Santa
    3.88
    Santa
    3.55
     SAN
    1.49
     Palo
    1.37
     UCS
    1.33
     Sant
    1.32
     San
    1.31
    SAN
    1.30
     Merry
    1.29
     Sacramento
    1.26
    Activations Density 0.023%

    No Known Activations