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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. 3-RES-JB
    11. 8958
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    INDEX
    Explanations

    mentions of the word "resources" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.78
    ker
    -0.75
    bone
    -0.73
    arella
    -0.70
    ership
    -0.70
    alone
    -0.69
    croft
    -0.69
    rooms
    -0.68
    room
    -0.66
     Repe
    -0.65
    POSITIVE LOGITS
     resources
    1.23
     Resources
    0.92
    ourcing
    0.92
    ourced
    0.83
     expended
    0.79
     resource
    0.76
    afety
    0.75
    acebook
    0.75
    Resources
    0.75
    folios
    0.74
    Activations Density 0.012%

    No Known Activations