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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. 11-RES-JB
    11. 2348
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    INDEX
    Explanations

    numerical references to order or quantity, particularly in relation to time

    oai_token-act-pair · gpt-3.5-turbo

    quantities or counts of items or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.72
    TextColor
    -0.66
     unfocusedRange
    -0.65
    HY
    -0.62
    oday
    -0.60
    study
    -0.59
    isu
    -0.59
    syn
    -0.58
    ueller
    -0.58
    swer
    -0.57
    POSITIVE LOGITS
     installments
    1.26
     chapters
    1.24
     digits
    1.19
     paragraphs
    1.18
     stages
    1.14
     editions
    1.08
     phases
    1.07
     episodes
    1.06
     rows
    1.05
     iterations
    1.05
    Activations Density 0.076%

    No Known Activations