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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. 4-RES-JB
    6. 5668
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    Explanations

    phrases related to specific events or locations

    oai_token-act-pair · gpt-3.5-turbo

    the indefinite articles "a" and "an" in the text

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

    No Comments

    Negative Logits
    ér
    -0.72
    ontent
    -0.71
    brate
    -0.70
     talents
    -0.69
    =""
    -0.66
    caster
    -0.66
    flows
    -0.66
    coins
    -0.66
    lly
    -0.65
    items
    -0.65
    POSITIVE LOGITS
     glance
    0.91
     concess
    0.85
     moment
    0.85
     pivotal
    0.80
     behest
    0.80
     disadvantage
    0.79
     outset
    0.78
     university
    0.78
     conference
    0.78
     handful
    0.78
    Activations Density 0.122%

    No Known Activations