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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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    terms related to shopping malls

    oai_token-act-pair · gpt-3.5-turbo

    references to shopping malls

    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
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    Negative Logits
    vous
    -0.89
    dit
    -0.70
    IBLE
    -0.67
    SHIP
    -0.66
    judicial
    -0.62
    rences
    -0.61
    å¦
    -0.59
     Nich
    -0.59
    lies
    -0.58
    İĭ
    -0.58
    POSITIVE LOGITS
     mall
    1.15
     malls
    1.11
    itect
    1.02
    rats
    0.89
    ageddon
    0.88
     kios
    0.87
     plaza
    0.86
    opia
    0.86
    ocks
    0.86
     guiActiveUnfocused
    0.85
    Activations Density 0.007%

    No Known Activations