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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. 4936
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    INDEX
    Explanations

    phrases related to achievement or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" and related phrases that indicate specificity or counting

    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
    ources
    -0.69
     endeavors
    -0.67
    IAS
    -0.66
    values
    -0.66
    amiya
    -0.66
     preferring
    -0.61
    lees
    -0.61
     Contents
    -0.60
     aloud
    -0.59
    Vert
    -0.59
    POSITIVE LOGITS
    hold
    1.45
     foothold
    1.33
     glimpse
    1.21
     grip
    1.08
     whiff
    1.06
     hold
    1.04
     chance
    1.03
     bead
    1.03
     taste
    1.02
     handle
    0.96
    Activations Density 0.092%

    No Known Activations