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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17692
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    Explanations

    dates mentioned in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in text

    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
     everyday
    -0.80
     untreated
    -0.76
     deport
    -0.73
     wre
    -0.72
     imperson
    -0.71
     retard
    -0.71
     overpower
    -0.71
     intangible
    -0.71
     extingu
    -0.71
     mature
    -0.71
    POSITIVE LOGITS
    pictured
    1.36
    which
    1.34
    see
    1.34
    via
    1.30
    although
    1.25
    PDF
    1.24
    pdf
    1.24
    thanks
    1.22
    sic
    1.22
    http
    1.22
    Activations Density 0.166%

    No Known Activations