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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. 20051
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    Explanations

    capital letter followed by the number 9

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'U' followed by the digit '1'

    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
     Noir
    -0.67
     bars
    -0.66
     hust
    -0.61
     remarks
    -0.60
     bottleneck
    -0.60
    cipline
    -0.57
    zbollah
    -0.57
     courtesy
    -0.56
     Doomsday
    -0.56
     separated
    -0.56
    POSITIVE LOGITS
    prising
    1.37
    nexpected
    1.33
    seless
    1.27
    lyss
    1.26
    PDATED
    1.26
    topia
    1.22
    gly
    1.18
    pperc
    1.15
    LT
    1.07
    mpire
    1.02
    Activations Density 0.057%

    No Known Activations