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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. 20331
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    Explanations

    descriptions and mentions of diagrams

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "diagram" and related visual presentation terms

    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
    NetMessage
    -0.72
    ierra
    -0.70
    Interstitial
    -0.70
    Chance
    -0.69
    earned
    -0.68
     rainy
    -0.67
     diligence
    -0.63
    akening
    -0.63
     indefinite
    -0.63
    VO
    -0.62
    POSITIVE LOGITS
     diagram
    1.23
     diagrams
    1.20
    matically
    0.92
    matical
    0.90
    zag
    0.89
    matic
    0.83
    ming
    0.82
     schematic
    0.79
    rast
    0.79
    odynam
    0.77
    Activations Density 0.004%

    No Known Activations