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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. 12124
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    Explanations

    significant actions taken by or towards someone

    oai_token-act-pair · gpt-3.5-turbo

    actions related to receiving or being given something

    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
     enterprise
    -0.68
     Gong
    -0.64
     ``(
    -0.60
     itself
    -0.59
     datas
    -0.59
    ources
    -0.58
     filament
    -0.58
    Us
    -0.57
     conventions
    -0.57
     Factor
    -0.56
    POSITIVE LOGITS
     aback
    1.03
    ©¶æ¥µ
    0.89
    ĸļ
    0.81
    ¿½
    0.77
    ardless
    0.75
    aukee
    0.72
     "$:/
    0.71
    åĤ
    0.71
    krit
    0.71
    quished
    0.70
    Activations Density 0.295%

    No Known Activations