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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. 5766
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    Explanations

    words related to trains

    oai_token-act-pair · gpt-3.5-turbo

    references to trains and train-related concepts

    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
    osi
    -0.69
     Reach
    -0.65
     Prairie
    -0.63
     Tablet
    -0.63
     Awareness
    -0.62
     Sphere
    -0.61
    eous
    -0.60
    izons
    -0.60
    monds
    -0.60
    ÏĤ
    -0.59
    POSITIVE LOGITS
    wreck
    1.36
    loads
    1.20
     conductor
    1.10
    ees
    1.09
    riages
    1.08
     derail
    1.07
     wreck
    1.06
    ee
    1.04
     ride
    1.03
    load
    1.01
    Activations Density 0.037%

    No Known Activations