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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. 11-RES-JB
    6. 8097
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    INDEX
    Explanations

    phrases related to historical events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    themes related to fate and historical context

    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
    inka
    -0.67
    TAG
    -0.67
    cart
    -0.65
    ornia
    -0.64
    orget
    -0.64
    agascar
    -0.61
    assembly
    -0.60
    hitting
    -0.60
    oji
    -0.60
    itter
    -0.60
    POSITIVE LOGITS
     dictates
    1.63
     dictated
    1.25
     dictate
    1.24
     forbids
    1.17
     prevailed
    1.17
     tells
    1.15
     intervened
    1.15
     wills
    1.11
     permits
    1.09
     justifies
    1.07
    Activations Density 0.213%

    No Known Activations