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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. 3-RES-JB
    11. 3160
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    INDEX
    Explanations

    mentions of a particular concept, person, or thing that is being highlighted or emphasized within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate possession or association

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chart
    -0.63
     Presence
    -0.62
    culosis
    -0.61
     disposed
    -0.61
     agre
    -0.59
    helle
    -0.56
     arrang
    -0.56
     Harbour
    -0.55
     subtitles
    -0.55
    anse
    -0.55
    POSITIVE LOGITS
    icial
    0.96
    sted
    0.81
     course
    0.73
    sson
    0.66
    milo
    0.64
     GHz
    0.64
    ust
    0.63
     theirs
    0.63
    GHz
    0.62
    thood
    0.62
    Activations Density 0.210%

    No Known Activations