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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13737
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    Explanations

    proper names or abbreviations typically in the format of "BN" followed by a number, often related to institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "BN" and related bibliographic references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rano
    -0.96
    flies
    -0.69
    door
    -0.68
    ammy
    -0.68
    houses
    -0.64
    ¯
    -0.64
    itation
    -0.64
    inav
    -0.63
    arted
    -0.63
    come
    -0.63
    POSITIVE LOGITS
    BN
    0.90
    KK
    0.83
    FW
    0.79
    uggets
    0.71
    RG
    0.71
    aylor
    0.70
    MQ
    0.70
    ECA
    0.69
     Laden
    0.67
    iversary
    0.67
    Activations Density 0.007%

    No Known Activations