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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the name "Holmes", particularly in relation to Sherlock Holmes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Sherlock Holmes and 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
     Uni
    -0.78
    rep
    -0.76
     nour
    -0.71
    dash
    -0.67
     salsa
    -0.67
    unciation
    -0.66
     dem
    -0.63
     Unic
    -0.62
    unity
    -0.62
    ancel
    -0.62
    POSITIVE LOGITS
     Holmes
    4.12
    Hol
    2.05
     Sherlock
    1.60
     Doyle
    1.57
     Watson
    1.54
     Sutherland
    1.24
     Potter
    1.20
     Paddock
    1.20
     Arkham
    1.17
     Hastings
    1.17
    Activations Density 0.025%

    No Known Activations