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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1326
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    Explanations

    words related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and specific numerical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igate
    -0.76
    ______
    -0.71
    Victoria
    -0.66
    ORK
    -0.64
    tnc
    -0.64
    $$$$
    -0.63
    )",
    -0.62
    igm
    -0.62
    elfare
    -0.61
    ;;;;
    -0.61
    POSITIVE LOGITS
     nonetheless
    1.41
     nevertheless
    1.13
    etheless
    1.08
     persists
    1.02
     retains
    0.95
     persisted
    0.92
     insists
    0.86
     lacks
    0.84
     hasn
    0.80
     disagrees
    0.79
    Activations Density 0.469%

    No Known Activations