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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. 7-RES-JB
    11. 19338
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific technology or software versions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.84
    fulness
    -0.84
    coni
    -0.73
    baugh
    -0.68
     Lauder
    -0.65
    itored
    -0.64
    weights
    -0.61
     Magicka
    -0.59
     guts
    -0.58
     Nadu
    -0.58
    POSITIVE LOGITS
    UE
    1.23
    ues
    1.08
    uably
    1.01
    ued
    0.98
    DN
    0.90
    atar
    0.89
    ois
    0.88
    atari
    0.88
    WER
    0.86
    iao
    0.86
    Activations Density 0.016%

    No Known Activations