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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. 9-RES-JB
    11. 9077
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    INDEX
    Explanations

    numbers indicating quantities or rankings

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to choices and selections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.59
    ãĥ¼ãĥĨãĤ£
    -0.51
    ¬¼
    -0.50
    essor
    -0.49
    =]
    -0.49
    rely
    -0.48
    ewitness
    -0.48
    \":
    -0.47
    rive
    -0.47
    ĪĴ
    -0.47
    POSITIVE LOGITS
     because
    1.03
     whereas
    1.01
    ;
    1.00
     but
    0.96
    .
    0.86
     whilst
    0.85
     ;
    0.84
    .;
    0.83
     although
    0.81
    ,[
    0.80
    Activations Density 1.610%

    No Known Activations