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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. 7-RES-JB
    11. 15360
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    Explanations

    instances of percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentage measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.73
    XT
    -0.64
    !/
    -0.63
    GD
    -0.62
    RAW
    -0.62
     Halls
    -0.62
    ESCO
    -0.61
     Polo
    -0.61
    ForgeModLoader
    -0.61
    ITED
    -0.61
    POSITIVE LOGITS
     capita
    1.08
     cent
    1.02
    uvian
    1.00
    tains
    0.96
    secut
    0.92
    malink
    0.88
    missive
    0.88
    ceptions
    0.84
    secution
    0.83
    imet
    0.82
    Activations Density 0.024%

    No Known Activations