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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. 17951
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    Explanations

    terms related to interrogation or interruption

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interactions and interconnectedness

    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
    cipled
    -0.66
     brim
    -0.62
    fits
    -0.61
     worms
    -0.60
    yss
    -0.60
     apples
    -0.59
    haps
    -0.57
    nen
    -0.57
     hypoc
    -0.57
    cale
    -0.57
    POSITIVE LOGITS
    allic
    0.82
    cheon
    0.80
    ersed
    0.79
    achment
    0.74
    etary
    0.72
    Services
    0.70
    eering
    0.68
    andise
    0.67
    ridor
    0.67
    foundland
    0.65
    Activations Density 0.066%

    No Known Activations