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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. 7-RES-JB
    6. 15501
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    Explanations

    dates in the format "YYYY-MM-DD" with high emphasis on the year

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or adverse remarks

    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
     ACTIONS
    -0.68
    ç¥ŀ
    -0.65
    iosis
    -0.63
     birthplace
    -0.62
     Opportun
    -0.61
    esan
    -0.61
     grop
    -0.60
    ;;;;;;;;;;;;
    -0.59
     someday
    -0.58
    ãĤ§
    -0.58
    POSITIVE LOGITS
    09
    1.17
    08
    1.16
    05
    1.13
    01
    1.12
    12
    1.10
    15
    1.08
    02
    1.07
    04
    1.07
    13
    1.07
    22
    1.07
    Activations Density 0.053%

    No Known Activations