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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. 2-RES-JB
    11. 895
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    Explanations

    specific measurements or distances, particularly in the form of quantities such as kilometers

    oai_token-act-pair · gpt-3.5-turbo

    units of measurement

    oai_token-act-pair · gpt-4-turbo

    references to specific distances or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anguage
    -0.76
    slot
    -0.68
    gow
    -0.66
     valve
    -0.66
    ometry
    -0.66
     laun
    -0.65
    irit
    -0.64
    ngth
    -0.64
     stall
    -0.64
    rag
    -0.63
    POSITIVE LOGITS
     Contracts
    0.69
     Advertisement
    0.67
    breaks
    0.64
    gars
    0.63
     Adventures
    0.62
     Contract
    0.61
     conflicts
    0.60
    borne
    0.59
     Principle
    0.58
    sect
    0.56
    Activations Density 0.000%

    No Known Activations