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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. 7148
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    Explanations

    occurrences of the term "JSON" or references to JSON data format

    oai_token-act-pair · gpt-3.5-turbo

    references to JSON formatting and its related concepts

    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
     Dull
    -0.72
    aments
    -0.70
    ners
    -0.70
    perture
    -0.68
    coni
    -0.66
    baugh
    -0.66
     Loren
    -0.66
    itism
    -0.65
    uay
    -0.65
     Cause
    -0.64
    POSITIVE LOGITS
     RPC
    0.86
     encoded
    0.76
    icter
    0.74
     schema
    0.74
     formatted
    0.73
    NG
    0.72
     extracted
    0.71
     JSON
    0.69
    JSON
    0.69
     retrieved
    0.69
    Activations Density 0.025%

    No Known Activations