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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. 6392
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    Explanations

    words related to technical terminology, particularly ending in 'odes' or 'ides'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific scientific or descriptive terms related to materials and structures

    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
    ALLY
    -0.75
    ãĥį
    -0.72
    lier
    -0.71
    ted
    -0.66
    ty
    -0.65
    Operation
    -0.62
    scape
    -0.62
    arna
    -0.62
    Phys
    -0.61
    NC
    -0.61
    POSITIVE LOGITS
    creen
    1.78
    mith
    1.78
    pace
    1.64
    paces
    1.54
    hift
    1.51
    ilver
    1.49
    hips
    1.48
    hops
    1.41
    peed
    1.40
    cale
    1.38
    Activations Density 0.103%

    No Known Activations