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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. 16671
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    INDEX
    Explanations

    adjectives and adverbs

    oai_token-act-pair · gpt-3.5-turbo

    strong adjectives and descriptors related to conditions or qualities

    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
    photos
    -0.57
    Diamond
    -0.54
    Engineers
    -0.51
    Benz
    -0.50
    tons
    -0.50
    Els
    -0.49
    Charge
    -0.49
    ties
    -0.48
    Cash
    -0.47
     fr
    -0.45
    POSITIVE LOGITS
     condem
    0.59
     rul
    0.58
     awoken
    0.57
    anamo
    0.55
     exting
    0.55
    byss
    0.54
    )=(
    0.52
    MpServer
    0.51
    dayName
    0.51
    opted
    0.49
    Activations Density 2.636%

    No Known Activations