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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. 8-RES-JB
    11. 4896
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    Explanations

    technical terms or descriptions related to physical objects or systems

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and data-related vocabulary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.71
    ridor
    -0.70
    iframe
    -0.69
    eka
    -0.68
    ozy
    -0.66
    ebin
    -0.65
    haps
    -0.65
    entimes
    -0.65
    ahime
    -0.65
    EStream
    -0.64
    POSITIVE LOGITS
     imaginable
    1.12
     except
    1.01
     involved
    0.86
     facets
    0.85
     necessary
    0.81
    ses
    0.77
     listed
    0.77
     therein
    0.77
     aspects
    0.74
    iest
    0.74
    Activations Density 0.365%

    No Known Activations