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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. 17566
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    Explanations

    phrases related to research activities

    oai_token-act-pair · gpt-3.5-turbo

    references to research or studies

    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
    thing
    -0.66
     Cruiser
    -0.64
     strings
    -0.62
     Springs
    -0.60
     Hoover
    -0.60
    aneers
    -0.60
     flawed
    -0.59
     McAuliffe
    -0.59
     spo
    -0.58
     erroneous
    -0.58
    POSITIVE LOGITS
    olutions
    1.38
    olve
    1.36
    istance
    1.36
    earcher
    1.34
    idency
    1.33
    ervation
    1.30
    olved
    1.27
    olver
    1.26
    urrection
    1.26
    idence
    1.26
    Activations Density 0.023%

    No Known Activations