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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. 159
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    INDEX
    Explanations

    words related to priorities and important tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to political priorities

    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
    idden
    -0.75
    INAL
    -0.74
    tub
    -0.72
    avery
    -0.72
    alter
    -0.71
    uge
    -0.70
    ripp
    -0.70
    enium
    -0.69
    redited
    -0.69
    techn
    -0.68
    POSITIVE LOGITS
     priorities
    1.10
     priority
    0.84
     allocation
    0.78
     priorit
    0.77
     agenda
    0.75
     oriented
    0.73
     pursued
    0.70
    etter
    0.69
     allocations
    0.69
     programmes
    0.69
    Activations Density 0.008%

    No Known Activations