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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. 10-RES-JB
    11. 6977
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    INDEX
    Explanations

    phrases related to actions and responsibilities, such as tasks, responding, and assignments

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     everywhere
    -0.66
     impunity
    -0.63
    none
    -0.61
     wink
    -0.59
     nonexistent
    -0.59
     vanished
    -0.59
    None
    -0.58
     loophole
    -0.55
     nowhere
    -0.54
     insiders
    -0.53
    POSITIVE LOGITS
     investigating
    0.81
     examining
    0.79
     endeavour
    0.79
     Towards
    0.75
     investigates
    0.73
     tasked
    0.73
     Investig
    0.73
     analys
    0.72
     studying
    0.71
     enqu
    0.71
    Activations Density 0.642%

    No Known Activations