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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. 4222
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    Explanations

    positive adjectives used in food-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters that appear to be unusual or non-standard

    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
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.73
     chronological
    -0.72
     hob
    -0.70
     oldest
    -0.69
     sled
    -0.68
     Manhattan
    -0.66
     record
    -0.64
     multipl
    -0.64
     recording
    -0.63
     charm
    -0.63
    POSITIVE LOGITS
    Â
    0.90
    âĢł
    0.90
    ¬
    0.89
    agree
    0.87
    ¢
    0.87
    §
    0.84
    âĹ¼
    0.83
    AFP
    0.82
    catentry
    0.81
    ships
    0.79
    Activations Density 0.334%

    No Known Activations