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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. 6-RES-JB
    11. 17360
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    Explanations

    references to decisions or actions being made

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve various forms of the word "move" indicating actions or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omial
    -0.74
     sqor
    -0.72
    english
    -0.68
    etheless
    -0.66
     Koran
    -0.65
    ordon
    -0.62
    aples
    -0.62
    sung
    -0.61
    errors
    -0.61
    iciency
    -0.59
    POSITIVE LOGITS
     toward
    0.86
     towards
    0.85
    able
    0.83
    ments
    0.81
    backs
    0.80
    rers
    0.79
    over
    0.77
    wright
    0.75
    ler
    0.74
    llan
    0.73
    Activations Density 0.035%

    No Known Activations