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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18342
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flare
    -0.63
     Zi
    -0.63
     Adin
    -0.63
    sson
    -0.61
    bour
    -0.60
    sie
    -0.58
    existence
    -0.57
    Ñĭ
    -0.57
    otine
    -0.57
     Carnage
    -0.57
    POSITIVE LOGITS
     Properties
    0.65
     appoint
    0.64
    anwhile
    0.60
     disappro
    0.59
     fantas
    0.59
     remembers
    0.59
     contem
    0.59
     latter
    0.58
    addin
    0.58
     strateg
    0.58
    Activations Density 0.810%

    No Known Activations