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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4243
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    Explanations

    strong emotional or decisive actions or statements related to various situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or processes commonly associated with criminal or contentious contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Disclaimer
    -0.73
     absence
    -0.69
     aisle
    -0.68
     identification
    -0.68
     divergence
    -0.67
     takeaway
    -0.66
     implication
    -0.66
     variation
    -0.64
     objective
    -0.63
     outcome
    -0.62
    POSITIVE LOGITS
    itates
    1.03
    ifies
    1.02
    izes
    1.00
    ously
    0.92
    posed
    0.90
    aciously
    0.88
    cedes
    0.88
    isively
    0.88
    anted
    0.87
    igrated
    0.86
    Activations Density 0.362%

    No Known Activations