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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. 11-RES-JB
    11. 6128
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    Explanations

    monetary values such as dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or currency amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boun
    -0.79
     nomine
    -0.74
     newsp
    -0.71
     unden
    -0.71
     twe
    -0.71
     strang
    -0.69
     mailing
    -0.67
     fitt
    -0.67
     detecting
    -0.66
     explan
    -0.66
    POSITIVE LOGITS
    916
    1.46
    548
    1.45
    840
    1.44
    787
    1.43
    880
    1.42
    147
    1.41
    113
    1.41
    585
    1.41
    540
    1.41
    740
    1.40
    Activations Density 0.076%

    No Known Activations