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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. 5805
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    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2004 and related statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    place
    -0.67
    este
    -0.66
    queue
    -0.62
    ymes
    -0.59
    sheet
    -0.59
     stead
    -0.58
    shaw
    -0.58
     clipboard
    -0.57
    ez
    -0.57
    venge
    -0.57
    POSITIVE LOGITS
    -'
    1.07
    å¹
    0.84
     onwards
    0.72
     vintage
    0.71
    âĢ²
    0.65
    ortal
    0.65
    ãĥĥãĥī
    0.65
    iyah
    0.65
     onward
    0.63
    iens
    0.61
    Activations Density 0.064%

    No Known Activations