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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. 20190
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    Explanations

    words related to physical structures or geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "hed."

    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
    é¾įå
    -0.76
    ãĥ¯ãĥ³
    -0.60
     stack
    -0.60
     STOR
    -0.57
     Beck
    -0.57
     Morales
    -0.56
    library
    -0.56
    使
    -0.55
     Sweeney
    -0.55
     helicop
    -0.55
    POSITIVE LOGITS
    ding
    0.98
    tons
    0.93
    rosis
    0.84
    uled
    0.84
    VIDIA
    0.82
    imer
    0.82
    \\\\\\\\
    0.80
    imentary
    0.79
    uling
    0.77
    ules
    0.75
    Activations Density 0.015%

    No Known Activations