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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. 1-RES-JB
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    Explanations

    mentions or references to the state of Texas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Texas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĭ
    -0.83
    ogle
    -0.77
    */(
    -0.76
    theless
    -0.74
    ple
    -0.73
    unal
    -0.71
    unct
    -0.70
    arty
    -0.69
    adows
    -0.68
    umbai
    -0.67
    POSITIVE LOGITS
     Texans
    1.07
     Instruments
    1.06
    Texas
    1.05
     Texas
    1.01
     Rangers
    0.93
     Longh
    0.92
     TX
    0.89
     Mavericks
    0.84
     Tex
    0.80
     Rockets
    0.79
    Activations Density 0.015%

    No Known Activations