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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 3660
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    Explanations

    the word "uss" with different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the term "uss" in various contexts throughout the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lull
    -0.61
     LIFE
    -0.60
     turf
    -0.60
     Arbor
    -0.59
    ISA
    -0.59
     stock
    -0.59
     halftime
    -0.58
     potency
    -0.57
     crest
    -0.57
     identical
    -0.56
    POSITIVE LOGITS
    alam
    1.09
    engers
    1.09
    uss
    1.08
    ault
    1.03
    olini
    0.98
    enger
    0.96
    enegger
    0.96
    essor
    0.93
    es
    0.91
    enge
    0.90
    Activations Density 0.009%

    No Known Activations