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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. 9-RES-JB
    11. 22685
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    Explanations

    entities and locations namedropping in the news

    oai_token-act-pair · gpt-3.5-turbo

    specific letters or characters frequently present in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     toget
    -0.88
    schild
    -0.84
     resil
    -0.76
    baugh
    -0.70
     Scare
    -0.69
    staking
    -0.68
     spoiled
    -0.65
     nails
    -0.63
    initialized
    -0.63
    FORMATION
    -0.62
    POSITIVE LOGITS
    emonic
    1.01
    ulhu
    0.94
    mt
    0.83
    cs
    0.82
    alm
    0.81
    mn
    0.80
    ctr
    0.79
    inn
    0.77
    RNA
    0.74
    Lt
    0.74
    Activations Density 0.102%

    No Known Activations