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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. 9995
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    INDEX
    Explanations

    phrases related to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    names of people, places, and organizations

    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
    jriwal
    -0.95
    channelAvailability
    -0.90
    umbn
    -0.80
    etheless
    -0.77
    matically
    -0.77
     characteristic
    -0.75
     gobl
    -0.74
    taboola
    -0.72
    hran
    -0.71
    */(
    -0.71
    POSITIVE LOGITS
     Farms
    1.40
     Industries
    1.34
     Enterprises
    1.29
     Laboratories
    1.28
     Studios
    1.28
     Productions
    1.23
     Associates
    1.21
     Labs
    1.20
     Films
    1.16
     Holdings
    1.15
    Activations Density 0.338%

    No Known Activations