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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. 8-RES-JB
    11. 24472
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to time or dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.71
    atem
    -0.70
     Incarn
    -0.69
     suscept
    -0.69
    Kin
    -0.67
    atis
    -0.66
    osate
    -0.65
     reluct
    -0.64
    inventoryQuantity
    -0.64
    bian
    -0.63
    POSITIVE LOGITS
    00
    0.96
    01
    0.89
    30
    0.83
    raction
    0.83
     00
    0.81
    45
    0.75
     02
    0.75
     03
    0.75
    20
    0.73
     01
    0.73
    Activations Density 0.035%

    No Known Activations