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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. 7-RES-JB
    11. 23067
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    Explanations

    phrases related to legal and governmental entities

    oai_token-act-pair · gpt-3.5-turbo

    references to legal and judicial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     emot
    -0.58
     multiplication
    -0.57
     lett
    -0.57
     ingred
    -0.56
    ðŁĺ
    -0.56
    Redditor
    -0.55
     mate
    -0.55
     rhy
    -0.54
    +.
    -0.54
    isms
    -0.54
    POSITIVE LOGITS
     Wilmington
    0.62
     Railroad
    0.62
    utherford
    0.61
    ortium
    0.61
    braska
    0.58
    ailability
    0.57
    ESSION
    0.56
    vernment
    0.56
    ederal
    0.55
     Legislative
    0.55
    Activations Density 0.993%

    No Known Activations