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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. 8-RES-JB
    11. 10033
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    Explanations

    outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the discovery of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Crystal
    -0.67
    ortunately
    -0.64
    asus
    -0.61
     prototyp
    -0.60
    illus
    -0.60
    eries
    -0.60
     Antar
    -0.59
    Nik
    -0.59
    berus
    -0.58
     oun
    -0.58
    POSITIVE LOGITS
    ledge
    0.90
     how
    0.90
     about
    0.86
    wards
    0.82
     why
    0.80
     aloud
    0.79
     beforehand
    0.79
     ABOUT
    0.76
     whats
    0.74
     WHY
    0.73
    Activations Density 0.041%

    No Known Activations