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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. 23567
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    Explanations

    phrases related to depth or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "deep" in various contexts

    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
    cules
    -0.70
    oppable
    -0.70
    annon
    -0.69
    roma
    -0.66
    orious
    -0.66
     Speedway
    -0.66
     ATT
    -0.65
    icks
    -0.63
    perty
    -0.63
    EED
    -0.61
    POSITIVE LOGITS
    ened
    0.98
     vein
    0.98
     pockets
    0.93
     dive
    0.87
    thro
    0.85
     breaths
    0.83
    ening
    0.82
     dives
    0.81
    water
    0.81
     seeded
    0.81
    Activations Density 0.042%

    No Known Activations