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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. 21186
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    INDEX
    Explanations

    phrases related to customer service and company interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to collective identity or shared experience

    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
    puff
    -0.77
    FU
    -0.71
    bender
    -0.71
     Ambro
    -0.70
    tar
    -0.66
     Goes
    -0.64
    ÏĦ
    -0.64
    Reloaded
    -0.63
    Wire
    -0.62
    _-
    -0.62
    POSITIVE LOGITS
    selves
    1.38
     own
    1.29
     respective
    0.98
     beloved
    0.93
     adversary
    0.92
     nation
    0.88
     newest
    0.88
     youngest
    0.88
     collective
    0.88
     adversaries
    0.87
    Activations Density 0.140%

    No Known Activations