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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. 4-RES-JB
    11. 1707
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    Explanations

    hyphenated phrases related to prominence or leadership positions

    oai_token-act-pair · gpt-3.5-turbo

    the term "front-runner" in various contexts

    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
    ulhu
    -0.81
     Dickinson
    -0.65
    pload
    -0.64
     DRAG
    -0.64
     Helpful
    -0.64
    ubi
    -0.64
     FY
    -0.63
     Diary
    -0.63
     Klux
    -0.63
    orem
    -0.62
    POSITIVE LOGITS
    based
    1.24
    level
    1.18
    sized
    1.16
    backed
    1.13
    to
    1.07
    eyed
    1.05
    of
    1.04
    training
    1.04
    produced
    1.01
    trained
    1.00
    Activations Density 0.203%

    No Known Activations