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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. 12801
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    Explanations

    phrases related to photography equipment and settings

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to photography accessories and equipment

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     eleph
    -1.01
     pione
    -0.96
    ortunately
    -0.95
     practition
    -0.92
     conduc
    -0.89
    Þ
    -0.88
     externalTo
    -0.88
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.87
    ø
    -0.87
    ą
    -0.87
    POSITIVE LOGITS
    lore
    0.96
    cause
    0.89
    lance
    0.87
    under
    0.87
    urban
    0.86
    intern
    0.85
    move
    0.84
    pain
    0.84
    city
    0.83
    mem
    0.83
    Activations Density 0.155%

    No Known Activations