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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14257
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    Explanations

    words related to intelligence or information processing

    oai_token-act-pair · gpt-3.5-turbo

    words related to intelligence and understanding

    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
     shroud
    -0.79
    ISM
    -0.74
     crawl
    -0.71
     hammer
    -0.71
     grip
    -0.68
     erection
    -0.66
     crane
    -0.66
     plaque
    -0.64
     shooting
    -0.64
     walk
    -0.61
    POSITIVE LOGITS
    ently
    1.38
    ents
    1.37
    ences
    1.34
    ellig
    1.30
    encia
    1.26
    encer
    1.22
    ency
    1.21
    enced
    1.10
    iencies
    1.09
    encies
    1.06
    Activations Density 0.033%

    No Known Activations