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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. 14206
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    Explanations

    phrases related to legal terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to definitions and explanations of various terms and phenomena

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    inventoryQuantity
    -0.83
     showc
    -0.66
     Ranger
    -0.64
    essional
    -0.64
     Spectre
    -0.64
     Sunder
    -0.64
     Barbar
    -0.63
    66666666
    -0.62
    daq
    -0.62
    6666
    -0.62
    POSITIVE LOGITS
     combining
    0.96
     loosely
    0.91
     combines
    0.77
     essentially
    0.76
    quartered
    0.76
     abbre
    0.74
     whereby
    0.72
     reim
    0.71
     acronym
    0.71
     cyl
    0.71
    Activations Density 1.317%

    No Known Activations