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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. 805
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    Explanations

    keywords related to introducing or presenting information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Here" 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
    ONSORED
    -0.66
     tongues
    -0.65
    )].
    -0.58
     grace
    -0.58
     absor
    -0.57
    offensive
    -0.56
    mong
    -0.56
     affirmative
    -0.55
    natureconservancy
    -0.55
     vib
    -0.55
    POSITIVE LOGITS
    tical
    1.20
    tics
    1.19
    abouts
    1.09
    tic
    1.04
    ford
    0.85
    here
    0.84
     Transcript
    0.77
    ibaba
    0.76
    yers
    0.75
    fore
    0.74
    Activations Density 0.031%

    No Known Activations