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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1243
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    INDEX
    Explanations

    mentions of a specific location or position

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "here."

    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
    omore
    -0.63
    ONSORED
    -0.57
     Heights
    -0.55
    Medical
    -0.55
     Brach
    -0.55
    Shape
    -0.54
     hygiene
    -0.53
    ggle
    -0.51
    catentry
    -0.51
    cig
    -0.51
    POSITIVE LOGITS
    tics
    1.33
    abouts
    1.32
    tical
    1.22
    tic
    1.06
    here
    0.93
    trak
    0.77
     newsp
    0.69
    orer
    0.67
    acus
    0.63
    lehem
    0.63
    Activations Density 0.041%

    No Known Activations