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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. 2-RES-JB
    11. 6038
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    Explanations

    phrases related to academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "ST" followed by a number, commonly associated with a specific institution or context

    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
    EStream
    -0.96
    merce
    -0.86
    glers
    -0.81
    mits
    -0.80
    uyomi
    -0.76
    ãĥ¼ãĥ³
    -0.75
    mobi
    -0.74
    iferation
    -0.73
     actionGroup
    -0.72
    icians
    -0.71
    POSITIVE LOGITS
    AGE
    1.09
    OCK
    0.95
    REAM
    0.93
    RE
    0.92
     ST
    0.90
    ACK
    0.86
    UFF
    0.82
    DERR
    0.82
    igm
    0.80
    ARD
    0.79
    Activations Density 0.008%

    No Known Activations