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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. 9001
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    Explanations

    words indicating possession, ownership, or having certain features

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "equipped."

    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
    dom
    -0.75
    birth
    -0.72
     Origin
    -0.71
    rough
    -0.66
    cott
    -0.66
     Decay
    -0.64
    ctrl
    -0.63
    ort
    -0.63
    cause
    -0.62
    grave
    -0.61
    POSITIVE LOGITS
     showc
    0.88
     equipped
    0.85
    oise
    0.79
    iterranean
    0.79
    ioned
    0.78
    ifax
    0.77
    illance
    0.76
     Swordsman
    0.76
    anooga
    0.76
    racuse
    0.76
    Activations Density 0.019%

    No Known Activations