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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. 9-RES-JB
    11. 17261
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    Explanations

    instances of specific capitalized names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.74
    FORMATION
    -0.72
    terday
    -0.71
    issance
    -0.67
    etheless
    -0.64
    ··
    -0.62
     millennials
    -0.60
     priced
    -0.60
     matching
    -0.59
     Curiosity
    -0.57
    POSITIVE LOGITS
    igl
    1.04
    utt
    1.04
    inski
    1.02
    heny
    0.96
    arin
    0.95
    iani
    0.95
    ansky
    0.94
    chin
    0.94
    olini
    0.94
    ayne
    0.93
    Activations Density 0.291%

    No Known Activations