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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. 6-RES-JB
    11. 23776
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    INDEX
    Explanations

    phrases related to advertisements and specific acknowledgments within texts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the end-of-text token, indicating content conclusion or separation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uality
    -0.77
    ually
    -0.69
     bald
    -0.69
    agate
    -0.68
    ,,,,
    -0.63
     Galile
    -0.62
     chang
    -0.60
    ife
    -0.59
     bleeding
    -0.59
     continental
    -0.58
    POSITIVE LOGITS
    giving
    0.74
    advertisement
    0.74
     Emails
    0.73
    ustration
    0.72
     Continue
    0.72
    ertodd
    0.70
    LOCK
    0.69
     WATCHED
    0.69
    Enlarge
    0.69
    én
    0.68
    Activations Density 0.010%

    No Known Activations