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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. 14394
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    oai_token-act-pair · gpt-3.5-turbo
    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
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    No Comments

    Negative Logits
    ĪĴ
    -0.79
    alach
    -0.64
    pex
    -0.63
    tein
    -0.62
    ©¶æ
    -0.62
    kered
    -0.62
    DEF
    -0.61
    orie
    -0.61
    BuyableInstoreAndOnline
    -0.60
    Downloadha
    -0.59
    POSITIVE LOGITS
     beforehand
    0.91
     how
    0.82
    ledge
    0.80
     ASAP
    0.77
    ledged
    0.76
     exactly
    0.74
     via
    0.73
    oway
    0.68
     hello
    0.68
     whenever
    0.68
    Activations Density 0.021%

    No Known Activations