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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    locations or buildings with the word "Palace" in their name

    oai_token-act-pair · gpt-3.5-turbo

    the term "Palace" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELL
    -0.82
    CAST
    -0.76
    ::::::::
    -0.72
    rd
    -0.69
     Braun
    -0.67
    ivity
    -0.67
    went
    -0.67
    SAM
    -0.65
    said
    -0.65
    VOL
    -0.64
    POSITIVE LOGITS
     Palace
    1.18
     palace
    0.86
     Hotel
    0.83
    monary
    0.75
     Theatre
    0.73
    ibur
    0.73
    osaurs
    0.71
    gur
    0.71
    itiz
    0.69
     tremend
    0.69
    Activations Density 0.007%

    No Known Activations