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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. 3-RES-JB
    11. 4475
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    Explanations

    specific acronyms or terms within a context related to technology or science

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "GS" followed by numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    landish
    -0.76
    aneously
    -0.74
    icating
    -0.70
     denomin
    -0.68
    raged
    -0.66
    swick
    -0.64
    icative
    -0.64
    iating
    -0.64
    taker
    -0.63
    ted
    -0.63
    POSITIVE LOGITS
    ettings
    0.98
    earch
    0.94
    ESSION
    0.93
    GS
    0.91
    IFT
    0.85
    OURCE
    0.84
    HT
    0.84
    apon
    0.81
    leep
    0.80
    adish
    0.80
    Activations Density 0.011%

    No Known Activations