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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. 23641
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    Explanations

    numbers, specifically in the 60s, 70s, and 80s

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numerical classifications or designations, particularly related to a list of items or entities

    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
    uler
    -0.81
    BOOK
    -0.74
    ettings
    -0.70
    achus
    -0.69
    ifice
    -0.67
    yang
    -0.64
    hold
    -0.63
    igent
    -0.62
    hend
    -0.62
    nesday
    -0.60
    POSITIVE LOGITS
     ILCS
    1.22
    00
    0.96
    «ĺ
    0.86
    ovember
    0.81
    328
    0.81
    317
    0.79
    MHz
    0.78
    uthor
    0.77
    CTV
    0.77
    ONT
    0.75
    Activations Density 0.105%

    No Known Activations