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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. 4-RES-JB
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    Explanations

    proper nouns related to specific locations, namely "Santa"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Santa" in various contexts

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

    No Comments

    Negative Logits
    edly
    -0.79
    hower
    -0.70
    ochond
    -0.66
    staking
    -0.66
    ives
    -0.65
    ugu
    -0.64
    orph
    -0.64
    toggle
    -0.64
    swing
    -0.63
    epad
    -0.62
    POSITIVE LOGITS
     Claus
    1.52
     Clara
    1.11
     Monica
    0.98
     Ana
    0.98
     Santa
    0.93
     Barbara
    0.92
     Rosa
    0.90
     Maria
    0.89
     Clar
    0.86
    Santa
    0.85
    Activations Density 0.005%

    No Known Activations