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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. 9773
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    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to contact information or coding references

    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
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    Negative Logits
    oult
    -0.76
    mast
    -0.74
    istically
    -0.71
    igans
    -0.71
    ework
    -0.69
    boarding
    -0.66
    oeuv
    -0.64
    coat
    -0.64
     Sabha
    -0.64
    ake
    -0.62
    POSITIVE LOGITS
    æ©Ł
    0.84
    é¾
    0.76
     MHz
    0.74
    uador
    0.73
    stasy
    0.72
    iquette
    0.72
    011
    0.70
     Forbidden
    0.68
    nesday
    0.68
    ername
    0.67
    Activations Density 0.026%

    No Known Activations