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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. 2-RES-JB
    6. 18043
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    Explanations

    words related to vehicles or transportation, particularly carriages and the names of individuals associated with them

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to characters and settings in narratives

    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
    interstitial
    -0.82
     jars
    -0.80
    gur
    -0.79
    roxy
    -0.76
    lar
    -0.75
    sense
    -0.74
    Kings
    -0.73
    lator
    -0.71
    cies
    -0.71
     jar
    -0.70
    POSITIVE LOGITS
     Compan
    0.90
     Islands
    0.75
     Classification
    0.73
     Chocobo
    0.72
     =================
    0.71
     Fant
    0.68
     Underground
    0.68
     Strikes
    0.68
    teness
    0.67
     Corridor
    0.67
    Activations Density 0.033%

    No Known Activations