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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. 11-RES-JB
    11. 16406
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    Explanations

    numerical values followed by units or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to incidents or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GoldMagikarp
    -0.69
    channelAvailability
    -0.60
     nodd
    -0.59
     explan
    -0.58
    itialized
    -0.56
    veyard
    -0.55
     Cutter
    -0.54
    alos
    -0.53
     unpre
    -0.52
    inventoryQuantity
    -0.52
    POSITIVE LOGITS
    85
    1.74
    90
    1.72
    84
    1.71
    87
    1.70
    82
    1.70
    83
    1.70
    94
    1.68
    62
    1.67
    93
    1.67
    81
    1.67
    Activations Density 0.148%

    No Known Activations