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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
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    Explanations

    references to the concept of "dam."

    oai_token-act-pair · gpt-3.5-turbo

    the word "dam" and its variations in the context of construction or environmental issues

    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
    lihood
    -0.74
     Benefits
    -0.69
     Spectrum
    -0.68
     Addiction
    -0.67
    Leary
    -0.66
     Prosecut
    -0.65
    ISTER
    -0.65
     Hawth
    -0.64
    ASY
    -0.64
    >[
    -0.63
    POSITIVE LOGITS
     dam
    1.18
    ascus
    1.10
     dams
    0.87
    dump
    0.87
    ming
    0.86
    mit
    0.81
    ilitation
    0.80
    lp
    0.79
    iets
    0.78
    ajo
    0.78
    Activations Density 0.005%

    No Known Activations