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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. 1-RES-JB
    11. 21645
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    Explanations

    references to illustration or illustration-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to illustration and administration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aimon
    -0.85
    Downloadha
    -0.81
    OHN
    -0.70
    velength
    -0.69
    ipop
    -0.68
     Grip
    -0.67
     grip
    -0.67
    olution
    -0.64
    olved
    -0.64
     handshake
    -0.63
    POSITIVE LOGITS
    rator
    1.52
    rative
    1.49
    rators
    1.29
    rates
    1.15
    rador
    1.12
    ris
    1.05
    rina
    1.04
    rett
    1.02
    rum
    1.01
    rations
    1.00
    Activations Density 0.020%

    No Known Activations