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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. 6-RES-JB
    11. 15417
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    Explanations

    years of establishment or launch of various entities or projects

    oai_token-act-pair · gpt-3.5-turbo

    mention of founding years or establishment dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erers
    -0.65
    icates
    -0.64
    ãĥķ
    -0.63
    rouse
    -0.62
    pressed
    -0.62
     repeat
    -0.61
    ariat
    -0.60
     pse
    -0.59
     regress
    -0.59
     listener
    -0.59
    POSITIVE LOGITS
    aceae
    0.81
    furt
    0.75
    assetsadobe
    0.72
     ..........
    0.70
    \<
    0.69
     Springs
    0.62
     Canaver
    0.61
    okane
    0.61
    ango
    0.61
    irection
    0.60
    Activations Density 0.200%

    No Known Activations