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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. 789
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    Explanations

    words related to work or tasks being done

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "working" in various contexts

    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
    antha
    -0.73
     Flavoring
    -0.69
     Neph
    -0.67
    xual
    -0.65
    ylon
    -0.65
    idium
    -0.65
    anas
    -0.62
     Augustus
    -0.61
    emonic
    -0.60
    nic
    -0.60
    POSITIVE LOGITS
     collabor
    1.04
    hops
    1.00
     tirelessly
    0.99
     diligently
    0.98
    paces
    0.90
     toward
    0.89
    fare
    0.86
     towards
    0.85
     overtime
    0.81
    forces
    0.80
    Activations Density 0.060%

    No Known Activations