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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. 9978
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    Explanations

    numbers with ascending order and possibly mathematical symbols

    oai_token-act-pair · gpt-3.5-turbo

    numerical sequences and structured data representations

    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
     laun
    -0.60
     acre
    -0.55
    Joy
    -0.55
    Americans
    -0.55
    acre
    -0.54
    880
    -0.53
    hon
    -0.53
    aunt
    -0.53
    ilts
    -0.52
    Way
    -0.52
    POSITIVE LOGITS
    thora
    0.65
    ulia
    0.65
     ¯
    0.63
    ĺħ
    0.62
    âĶĢâĶĢâĶĢâĶĢ
    0.62
     ÎĶ
    0.61
     Pirate
    0.61
     ;;
    0.60
     TOTAL
    0.60
     :=
    0.60
    Activations Density 0.037%

    No Known Activations