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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. 10-RES-JB
    11. 20635
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    Explanations

    words related to shopping items and products

    oai_token-act-pair · gpt-3.5-turbo

    commas and references to quantities or measurements in a list format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izen
    -0.73
    atile
    -0.72
    ,
    -0.69
    otin
    -0.69
    llah
    -0.68
    ,[
    -0.67
     TAMADRA
    -0.66
    ,—
    -0.66
    ":"
    -0.65
    ati
    -0.64
    POSITIVE LOGITS
     huh
    0.97
     please
    0.93
     aka
    0.93
     etc
    0.89
     circa
    0.88
     plus
    0.88
     courtesy
    0.87
     preferably
    0.86
     excluding
    0.85
     including
    0.80
    Activations Density 0.328%

    No Known Activations