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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. 8310
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    Explanations

    words related to providing solutions or relief

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" in various contexts

    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
    soDeliveryDate
    -0.61
    listed
    -0.58
    quickShipAvailable
    -0.54
    need
    -0.47
    ONSORED
    -0.46
     Appears
    -0.46
    Got
    -0.46
     wastes
    -0.46
     flows
    -0.46
    afety
    -0.45
    POSITIVE LOGITS
     compensate
    0.86
     avoid
    0.84
    ggles
    0.84
     maximize
    0.82
     achieve
    0.81
     defend
    0.80
     minimize
    0.80
     ensure
    0.79
     preserve
    0.78
    asty
    0.78
    Activations Density 0.852%

    No Known Activations