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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. 0-RES-JB
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    INDEX
    Explanations

    numeric codes with the acronym "ED" reaching the highest level of activation

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "ED" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MENT
    -1.35
    MENTS
    -0.98
     Lann
    -0.71
    uple
    -0.70
    vari
    -0.67
     planting
    -0.67
    vable
    -0.66
    ernels
    -0.66
     Wheat
    -0.64
     Potato
    -0.64
    POSITIVE LOGITS
     ED
    2.42
     transc
    1.74
     electro
    1.39
     Electro
    1.32
     Trance
    1.18
     Edison
    1.15
     headphones
    1.15
     trance
    1.13
     headphone
    1.05
     electrodes
    1.02
    Activations Density 0.047%

    No Known Activations