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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. 3299
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    Explanations

    words related to governmental institutions, particularly the word "Bundestag"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Bund" or related terms in a legislative context

    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
    OPLE
    -0.74
     breath
    -0.71
     Wizards
    -0.63
    USE
    -0.62
    EFF
    -0.62
    ABLE
    -0.61
    INTER
    -0.61
    gyn
    -0.60
    uador
    -0.59
     MPH
    -0.59
    POSITIVE LOGITS
     Bund
    1.09
    nam
    1.02
    emonium
    0.94
    liga
    0.86
    enberg
    0.86
    les
    0.84
    aroo
    0.84
     bund
    0.83
    mates
    0.83
    ings
    0.81
    Activations Density 0.004%

    No Known Activations