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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. 7233
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    Explanations

    words related to laws, regulations, or systems

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the conjunction "or"

    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
    OTAL
    -0.65
    inctions
    -0.65
     VIDEOS
    -0.60
    STER
    -0.60
    Fra
    -0.58
    Words
    -0.58
     Outbreak
    -0.58
    IDENT
    -0.57
    gpu
    -0.57
    enko
    -0.56
    POSITIVE LOGITS
    thodox
    1.21
    chid
    1.17
    Else
    1.15
    phans
    1.11
    onto
    1.04
    lando
    1.03
    ific
    1.02
    acle
    0.97
    phan
    0.94
    anges
    0.92
    Activations Density 0.030%

    No Known Activations