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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. 9-RES-JB
    11. 4601
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    Explanations

    places or locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Dun" or related variations within the text

    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
     pains
    -0.64
    >>>>>>>>
    -0.64
    OHN
    -0.63
    INC
    -0.63
     ASA
    -0.61
    ONS
    -0.61
     attachments
    -0.61
     worthwhile
    -0.58
     BDS
    -0.56
     false
    -0.55
    POSITIVE LOGITS
    edin
    1.23
    geon
    1.18
    wich
    1.14
    geons
    1.14
    querque
    1.07
    ning
    1.04
    lap
    1.00
    leys
    0.98
    wall
    0.96
    away
    0.92
    Activations Density 0.034%

    No Known Activations