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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. 15742
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    Explanations

    proper nouns related to specific events, people, or terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or specific identifiable entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    isite
    -0.78
    ting
    -0.77
    isen
    -0.75
    caster
    -0.72
    xon
    -0.71
    ted
    -0.69
    tenance
    -0.68
     Mirage
    -0.64
    balls
    -0.63
    med
    -0.61
    POSITIVE LOGITS
    士
    0.87
    CRIP
    0.81
    ĵ
    0.80
    itution
    0.78
     arrang
    0.74
    itized
    0.74
    clerosis
    0.69
    uctor
    0.68
    rouch
    0.68
     compe
    0.68
    Activations Density 0.036%

    No Known Activations