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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 7827
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    Explanations

    terms related to legal actions, particularly the concept of amnesty

    oai_token-act-pair · gpt-3.5-turbo

    references to immigration amnesty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Princ
    -0.76
    ::::::::
    -0.75
     Dull
    -0.70
    Ward
    -0.65
     Borough
    -0.64
    wig
    -0.63
     Forge
    -0.62
    Publisher
    -0.61
     stead
    -0.60
    chem
    -0.60
    POSITIVE LOGITS
     amnesty
    1.51
    nesty
    1.07
     pard
    0.96
     pardon
    0.82
    ptives
    0.81
     repatri
    0.79
    igrants
    0.77
    chwitz
    0.75
    ":""},{"
    0.72
     decriminal
    0.72
    Activations Density 0.005%

    No Known Activations