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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. 11-RES-JB
    11. 12512
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    Explanations

    phrases related to technical instructions or details

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" and related items that indicate specific conditions or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ornings
    -0.84
    Brexit
    -0.84
    perse
    -0.81
    lees
    -0.79
    warts
    -0.78
     âĢº
    -0.78
    thood
    -0.76
    agy
    -0.74
    olkien
    -0.74
    adoes
    -0.71
    POSITIVE LOGITS
     technician
    1.23
     purchaser
    1.14
     clerk
    1.10
     owner
    1.10
     seller
    1.08
     contractor
    1.08
     person
    1.07
     procedure
    1.06
     discrepancy
    1.06
     sender
    1.05
    Activations Density 0.390%

    No Known Activations