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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. 6-RES-JB
    6. 3295
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    Explanations

    proper nouns or specific entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.72
    iffe
    -0.71
    earch
    -0.70
    leeve
    -0.69
    rehend
    -0.68
    Background
    -0.67
    rade
    -0.67
    verage
    -0.66
    eno
    -0.64
    hire
    -0.64
    POSITIVE LOGITS
    oret
    1.23
     latter
    1.18
     longest
    1.16
     shortest
    1.14
     same
    1.11
     fastest
    1.11
     biggest
    1.09
     smallest
    1.08
     largest
    1.07
     simplest
    1.07
    Activations Density 0.168%

    No Known Activations