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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. 3-RES-JB
    11. 6439
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    Explanations

    words related to severe weather conditions, especially droughts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rough."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.81
    IDA
    -0.73
    PLA
    -0.73
    INC
    -0.70
    illary
    -0.69
    holiday
    -0.66
    DEP
    -0.65
    EXP
    -0.64
    shapeshifter
    -0.64
    arella
    -0.63
    POSITIVE LOGITS
    son
    0.93
    sie
    0.91
    rough
    0.88
    scl
    0.79
    ly
    0.78
    ride
    0.77
    soever
    0.77
    sin
    0.77
    thood
    0.76
    sts
    0.76
    Activations Density 0.004%

    No Known Activations