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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. 7333
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    INDEX
    Explanations

    phrases containing the word "to" followed by verbs or nouns

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential or opportunities

    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
     Advertisement
    -0.79
    soDeliveryDate
    -0.72
    busters
    -0.64
     dup
    -0.64
     diarr
    -0.60
    soever
    -0.60
    naires
    -0.59
    emies
    -0.58
     footprints
    -0.58
    casts
    -0.58
    POSITIVE LOGITS
    wered
    0.90
    ggles
    0.83
     spice
    0.82
     clarify
    0.80
    asted
    0.76
     contend
    0.76
     overcome
    0.76
     explore
    0.76
     learn
    0.75
     accommodate
    0.73
    Activations Density 0.083%

    No Known Activations