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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. 5-RES-JB
    6. 9615
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    Explanations

    pronouns and interrogative words indicating identification or questioning

    oai_token-act-pair · gpt-3.5-turbo

    pronouns related to collective identity or community involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Increases
    -0.63
     CITY
    -0.60
     Cabin
    -0.58
     Hunting
    -0.58
     ACTIONS
    -0.58
     Cancel
    -0.57
     existed
    -0.57
    umar
    -0.56
     Samp
    -0.56
     Virus
    -0.56
    POSITIVE LOGITS
    aning
    0.81
     supposed
    0.79
     kidding
    0.78
    avers
    0.76
    zzo
    0.76
    arth
    0.76
    soDeliveryDate
    0.75
     aware
    0.74
    atics
    0.72
    omorphic
    0.72
    Activations Density 0.075%

    No Known Activations