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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. 6900
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    INDEX
    Explanations

    phrases related to frequency or common occurrence

    oai_token-act-pair · gpt-3.5-turbo

    the recurring use of the word "often."

    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
    vich
    -0.74
    ajor
    -0.74
    ongyang
    -0.70
     Achievement
    -0.69
    oti
    -0.68
    regate
    -0.67
    ngth
    -0.66
    ATS
    -0.65
    osal
    -0.64
    anth
    -0.64
    POSITIVE LOGITS
    entimes
    1.73
     times
    1.28
     overlooked
    1.26
    times
    1.22
     referred
    1.09
     misunderstood
    1.07
     mistaken
    1.06
     mistakenly
    1.00
    theless
    0.96
     underestimated
    0.96
    Activations Density 0.064%

    No Known Activations