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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. 18595
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    Explanations

    phrases related to luxury or high-end status

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "lim" in different 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
    ALK
    -0.75
     amd
    -0.62
    MODE
    -0.61
     legion
    -0.61
     Aust
    -0.60
     swirling
    -0.59
    BOOK
    -0.59
     storm
    -0.59
    0000000
    -0.58
    Ò
    -0.58
    POSITIVE LOGITS
    elight
    1.48
    erick
    1.37
    itations
    1.33
    iter
    1.14
    itation
    1.09
    estone
    1.08
    ber
    1.04
    bers
    1.03
    itating
    1.02
    inal
    1.01
    Activations Density 0.031%

    No Known Activations