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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. 4-RES-JB
    11. 2107
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    Explanations

    words related to splattering

    oai_token-act-pair · gpt-3.5-turbo

    words related to "splashing" or "spilling"

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

    No Comments

    Negative Logits
     negligence
    -0.70
    Reviewer
    -0.68
    manship
    -0.68
    IAS
    -0.67
    ansas
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.63
    00200000
    -0.62
    hammad
    -0.61
     ACTION
    -0.61
    geist
    -0.60
    POSITIVE LOGITS
    attered
    1.05
    atform
    0.99
    atoon
    0.93
    atters
    0.93
    iple
    0.91
    atter
    0.91
    inters
    0.91
    atinum
    0.90
    utonium
    0.85
    acers
    0.85
    Activations Density 0.005%

    No Known Activations