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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. 24392
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    Explanations

    specific locations or offices

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and positions

    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
    女
    -0.78
    é¾
    -0.76
    sth
    -0.75
    ãĥŁ
    -0.71
    factor
    -0.71
    ibe
    -0.68
    pse
    -0.67
    Someone
    -0.67
    potion
    -0.65
    00200000
    -0.65
    POSITIVE LOGITS
     various
    1.37
     several
    1.22
     both
    1.20
     numerous
    1.18
     different
    1.06
     varying
    1.06
     dozens
    1.03
     other
    1.00
     innumerable
    0.99
     departments
    0.95
    Activations Density 0.475%

    No Known Activations