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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. 9-RES-JB
    11. 14263
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    Explanations

    numerical figures or quantifiable data related to counts or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical quantities or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inelli
    -0.71
    aimon
    -0.66
     silence
    -0.65
    outer
    -0.65
    INTON
    -0.61
     srfAttach
    -0.60
     majesty
    -0.59
     Correspond
    -0.59
     opacity
    -0.59
    robe
    -0.59
    POSITIVE LOGITS
     of
    0.97
    phal
    0.79
    plates
    0.79
    Of
    0.70
    ples
    0.70
    metry
    0.69
    assian
    0.67
    casts
    0.66
    mable
    0.66
    nels
    0.64
    Activations Density 0.055%

    No Known Activations