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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. 221
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    INDEX
    Explanations

    dates and time-related words

    oai_token-act-pair · gpt-3.5-turbo

    temporal references such as specific days and durations

    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
    oi
    -0.80
    olor
    -0.75
    ãĤ¤ãĥĪ
    -0.75
    norm
    -0.71
     Neon
    -0.67
    ÙĪ
    -0.67
    amus
    -0.66
    angan
    -0.65
    ÙĦ
    -0.64
     vec
    -0.63
    POSITIVE LOGITS
     twilight
    0.75
     afternoon
    0.70
    uberty
    0.67
     millennium
    0.67
     seaw
    0.63
     mornings
    0.63
     tide
    0.63
     deforestation
    0.62
     morning
    0.61
     reef
    0.61
    Activations Density 0.395%

    No Known Activations