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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. 349
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    Explanations

    phrases related to legal matters and government actions

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various 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
    ":-
    -0.75
    lex
    -0.72
    cale
    -0.71
    ses
    -0.71
    ributes
    -0.70
    ository
    -0.70
    ciples
    -0.69
    ahime
    -0.67
    ELD
    -0.67
    00200000
    -0.66
    POSITIVE LOGITS
     rightfully
    1.09
     rightly
    1.03
     vice
    1.02
     possibly
    0.96
     indeed
    0.95
     incidentally
    0.94
     consequently
    0.94
     furthermore
    0.93
     optionally
    0.93
     hence
    0.91
    Activations Density 0.099%

    No Known Activations