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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. 5033
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    INDEX
    Explanations

    references to size or scale

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of large size or quantity

    oai_token-act-pair · gpt-3.5-turbo
    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
    CB
    -0.83
    ople
    -0.76
    20439
    -0.75
     Bleach
    -0.75
    VR
    -0.71
    Advertisements
    -0.71
    åij
    -0.67
    former
    -0.67
     Called
    -0.67
    TI
    -0.66
    POSITIVE LOGITS
     sized
    1.05
     proport
    1.04
     quantities
    0.99
     intestine
    0.97
     amounts
    0.94
     scale
    0.91
     chunk
    0.90
     portions
    0.90
     rectangular
    0.87
     proportions
    0.86
    Activations Density 0.025%

    No Known Activations