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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. 2-RES-JB
    11. 4038
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.89
    ITED
    -0.74
     Bhar
    -0.67
    KEN
    -0.64
    çīĪ
    -0.63
    itual
    -0.62
     Tycoon
    -0.60
     externalToEVAOnly
    -0.60
    foreseen
    -0.59
    éĹ
    -0.59
    POSITIVE LOGITS
    age
    1.22
    ages
    1.10
    percent
    1.09
    imeter
    1.05
    ername
    1.01
    imeters
    0.97
    AGE
    0.95
    Percent
    0.93
     Percent
    0.88
    ership
    0.86
    Activations Density 0.008%

    No Known Activations