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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8842
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    INDEX
    Explanations

    mentions of institutions or organizations and their actions

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.58
    acial
    -0.54
    #$#$
    -0.52
    oyal
    -0.52
    anian
    -0.52
    -+-+
    -0.52
    cipl
    -0.52
    ãĤ¤ãĥĪ
    -0.51
    ulative
    -0.49
    inarily
    -0.49
    POSITIVE LOGITS
     Holo
    0.60
     Bast
    0.52
     ITV
    0.51
     Interstellar
    0.51
     Nasa
    0.50
     Quake
    0.50
     Halo
    0.49
     Accounting
    0.49
     Astron
    0.49
     astronaut
    0.49
    Activations Density 1.596%

    No Known Activations