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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. 4-RES-JB
    11. 10997
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    Explanations

    the phrase "First of all"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating appreciation or gratitude

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

    No Comments

    Negative Logits
    eln
    -0.70
    pressed
    -0.69
    zynski
    -0.69
    pload
    -0.67
     range
    -0.64
     sled
    -0.64
    fle
    -0.61
    Shape
    -0.60
     srf
    -0.60
     Sv
    -0.60
    POSITIVE LOGITS
    ocating
    1.10
    âĶĢâĶĢâĶĢâĶĢ
    0.89
    iance
    0.80
    ocated
    0.79
    udes
    0.79
    uding
    0.76
    usion
    0.76
    usions
    0.76
    iances
    0.76
    ç¥ŀ
    0.75
    Activations Density 0.021%

    No Known Activations