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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. 7-RES-JB
    11. 8627
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    Explanations

    phrases related to alignment or positioning

    oai_token-act-pair · gpt-3.5-turbo

    references to the phrase "lined up."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mansion
    -0.79
    KEN
    -0.66
    inventoryQuantity
    -0.64
     Cust
    -0.63
    cest
    -0.63
    staking
    -0.59
    fully
    -0.59
    fulness
    -0.58
    BIT
    -0.58
    complex
    -0.57
    POSITIVE LOGITS
    etter
    0.71
    eret
    0.70
    osuke
    0.68
    atoon
    0.68
     opposite
    0.67
    uce
    0.66
     against
    0.65
    against
    0.65
     neatly
    0.65
    prep
    0.64
    Activations Density 0.035%

    No Known Activations