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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. 9-RES-JB
    6. 1232
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    Explanations

    references to inquiries or investigations

    oai_token-act-pair · gpt-3.5-turbo

    words related to inquiries and investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nown
    -0.72
    board
    -0.70
    enburg
    -0.68
    fell
    -0.67
    perm
    -0.67
     Depend
    -0.66
     Tycoon
    -0.61
    stadt
    -0.61
    amera
    -0.60
    berman
    -0.60
    POSITIVE LOGITS
     probing
    1.12
    iry
    1.08
    iries
    1.05
    isition
    1.03
     inquire
    1.02
     inqu
    1.01
     Inqu
    1.00
    naires
    0.98
    isitions
    0.93
     inquiry
    0.92
    Activations Density 0.052%

    No Known Activations