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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. 11-RES-JB
    11. 5959
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    INDEX
    Explanations

    phrases related to physical objects or tools

    oai_token-act-pair · gpt-3.5-turbo

    specific physical items or objects and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.94
     Machines
    -0.91
    places
    -0.89
     Cups
    -0.86
     ceilings
    -0.86
    rooms
    -0.86
     campaigns
    -0.86
    hops
    -0.85
     establishments
    -0.85
     Vehicles
    -0.85
    POSITIVE LOGITS
    ordinate
    0.79
    imeter
    0.75
    ogram
    0.75
    omial
    0.74
    like
    0.73
    oscope
    0.72
    entary
    0.71
    able
    0.69
    manent
    0.68
    ificant
    0.68
    Activations Density 0.834%

    No Known Activations