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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. 4-RES-JB
    11. 20061
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    Explanations

    mentions of quantities or collections of items being transported or moved

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of transporting or moving items

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

    No Comments

    Negative Logits
    changes
    -0.73
    licted
    -0.69
    ricular
    -0.66
    ellen
    -0.65
    lip
    -0.64
    urity
    -0.63
    cussion
    -0.62
    eely
    -0.60
    lik
    -0.59
    culated
    -0.59
    POSITIVE LOGITS
     haul
    1.17
    loads
    1.03
     hauled
    0.87
    iness
    0.80
     Bagg
    0.79
    load
    0.74
    age
    0.74
    uling
    0.74
    ãĤĮ
    0.72
    hari
    0.72
    Activations Density 0.010%

    No Known Activations