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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5120
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    INDEX
    Explanations

    instances of the word "have"

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "have."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oshi
    -0.68
    catentry
    -0.66
     Apart
    -0.61
    icking
    -0.59
    oji
    -0.59
    eem
    -0.57
    weed
    -0.57
    etting
    -0.56
    cus
    -0.56
     bribe
    -0.55
    POSITIVE LOGITS
     been
    1.28
    been
    1.03
     Been
    0.92
     seen
    0.92
     gotten
    0.91
     begun
    0.88
     become
    0.86
     undergone
    0.82
     done
    0.80
     gone
    0.79
    Activations Density 0.258%

    No Known Activations