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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. 4-RES-JB
    11. 21990
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    Explanations

    phrases and expressions related to frequency or repetition

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing frequency or repetition

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

    No Comments

    Negative Logits
    RAW
    -0.76
    kind
    -0.76
    =]
    -0.72
     Seah
    -0.70
    ges
    -0.69
     Melt
    -0.68
    ÄŁ
    -0.67
    shi
    -0.67
    loo
    -0.66
    ENE
    -0.65
    POSITIVE LOGITS
    entimes
    1.13
     encountered
    0.94
     Asked
    0.92
    theless
    0.88
     times
    0.84
    è¦ļéĨĴ
    0.82
    times
    0.82
    interstitial
    0.78
     mistaken
    0.77
    rences
    0.76
    Activations Density 0.023%

    No Known Activations