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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. 19468
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    Explanations

    phrases or sentences describing explanations or analyses

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe processes or methods

    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
    oubted
    -0.73
    ãģĮ
    -0.68
    flags
    -0.66
    piece
    -0.65
    mAh
    -0.65
    topic
    -0.65
    aughed
    -0.64
    ige
    -0.64
    ñ
    -0.64
    advertisement
    -0.63
    POSITIVE LOGITS
    soever
    1.02
    ls
    0.82
     much
    0.78
    beit
    0.77
     they
    0.74
     prevalent
    0.71
     humans
    0.69
     fared
    0.69
     pervasive
    0.69
    ling
    0.67
    Activations Density 0.092%

    No Known Activations