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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. 7-RES-JB
    11. 7408
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    Explanations

    food related words and adjectives

    oai_token-act-pair · gpt-3.5-turbo

    references to common objects and actions associated with daily life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETHOD
    -0.78
    ANC
    -0.76
    CLASSIFIED
    -0.76
    ²¾
    -0.72
    TION
    -0.71
    EGIN
    -0.71
    Support
    -0.69
     referen
    -0.69
    ODUCT
    -0.69
     newcom
    -0.68
    POSITIVE LOGITS
     fries
    1.02
     Doodle
    0.82
     dolls
    0.81
     lettuce
    0.81
    pants
    0.81
     nap
    0.80
     steak
    0.80
    agra
    0.80
     torches
    0.79
    pipe
    0.78
    Activations Density 0.680%

    No Known Activations