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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. 1-RES-JB
    11. 20726
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    Explanations

    proper nouns related to organizations or people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to organizations and people involved in projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utic
    -0.93
    phrine
    -0.81
    obia
    -0.77
    anche
    -0.70
    illance
    -0.70
    culosis
    -0.69
     fram
    -0.69
    artisan
    -0.68
    utical
    -0.68
    Ģ
    -0.68
    POSITIVE LOGITS
    ONG
    1.02
    DEF
    0.91
    ENSE
    0.85
    VERT
    0.82
    ANE
    0.81
    DEP
    0.81
    REE
    0.80
    IDER
    0.78
    ++++
    0.77
    INS
    0.76
    Activations Density 0.025%

    No Known Activations