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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. 9-RES-JB
    11. 3235
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    Explanations

    the word "Lib" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Lib Dem" and related variations in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boarding
    -0.70
     silence
    -0.70
    theless
    -0.67
     Order
    -0.67
     Athletic
    -0.65
     Dragonbound
    -0.63
     Oaks
    -0.62
    ufact
    -0.62
    INESS
    -0.61
     shroud
    -0.61
    POSITIVE LOGITS
    virt
    1.04
    ido
    1.04
    ras
    0.97
    rum
    0.97
    syn
    0.96
    ra
    0.95
    rium
    0.95
    rett
    0.93
    ris
    0.93
    bers
    0.92
    Activations Density 0.045%

    No Known Activations