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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. 9868
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    Explanations

    references to specific time periods, particularly within the last few days or weeks

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically days and weeks

    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
     someday
    -0.68
     Sob
    -0.61
     ut
    -0.61
    angan
    -0.60
    oped
    -0.60
     Interface
    -0.60
     Controls
    -0.59
     Type
    -0.58
     Codes
    -0.58
     exception
    -0.58
    POSITIVE LOGITS
    urnal
    0.84
    hift
    0.84
    imester
    0.81
     afternoon
    0.80
    dozen
    0.75
    UTERS
    0.75
    night
    0.73
    flower
    0.73
    maxwell
    0.71
    ebin
    0.69
    Activations Density 0.113%

    No Known Activations