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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. 12005
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    Explanations

    dates in the format of year followed by a non-zero activation value

    oai_token-act-pair · gpt-3.5-turbo

    specific years and notable historical 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
    htaking
    -0.70
     TEXT
    -0.70
    EStreamFrame
    -0.65
     ancest
    -0.65
    abilia
    -0.61
     poster
    -0.61
    kef
    -0.58
     inhabit
    -0.58
    imate
    -0.57
     Num
    -0.55
    POSITIVE LOGITS
     onwards
    0.95
     onward
    0.91
     thereafter
    0.82
    theless
    0.74
    later
    0.72
    after
    0.69
    fml
    0.67
    iday
    0.66
     mornings
    0.66
    »Ĵ
    0.65
    Activations Density 0.237%

    No Known Activations