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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. 6-RES-JB
    11. 9895
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    Explanations

    references to riots or riot-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to rioting and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.76
    metics
    -0.74
    avez
    -0.74
    icrobial
    -0.72
    bourg
    -0.72
    DonaldTrump
    -0.70
    NetMessage
    -0.68
    ULTS
    -0.68
    population
    -0.68
    hran
    -0.67
    POSITIVE LOGITS
    naire
    0.92
     riot
    0.89
    ous
    0.89
    ously
    0.80
    ers
    0.78
    auld
    0.76
    rained
    0.74
     riots
    0.73
    rup
    0.71
    eering
    0.70
    Activations Density 0.019%

    No Known Activations