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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. 10-RES-JB
    11. 1207
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    Explanations

    time-related expressions and durations

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time spent on activities or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    soDeliveryDate
    -0.81
    orthy
    -0.65
    });
    -0.63
    ãĥ¤
    -0.63
     });
    -0.62
    idespread
    -0.62
    idth
    -0.61
     Cosponsors
    -0.60
    rium
    -0.60
    gee
    -0.60
    POSITIVE LOGITS
     researching
    1.26
     studying
    1.20
     figuring
    1.19
     educating
    1.18
     cultivating
    1.15
     analyzing
    1.15
     preparing
    1.14
     trying
    1.13
     exploring
    1.12
     discussing
    1.11
    Activations Density 0.116%

    No Known Activations