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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. 3-RES-JB
    6. 922
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    Explanations

    references to physical objects

    oai_token-act-pair · gpt-3.5-turbo

    references to physical objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITY
    -0.83
     millenn
    -0.77
    ornia
    -0.75
     Genie
    -0.69
    ther
    -0.69
    egal
    -0.67
    UTH
    -0.66
    ãĥ´
    -0.64
    ould
    -0.64
    sis
    -0.63
    POSITIVE LOGITS
     objects
    0.95
    objects
    0.88
    imus
    0.81
    ensity
    0.79
    */(
    0.73
     situated
    0.71
     Objects
    0.71
     silhou
    0.70
    ively
    0.70
    ivity
    0.69
    Activations Density 0.014%

    No Known Activations