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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. 7-RES-JB
    11. 15312
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    Explanations

    linear relationships or patterns in data

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to linear and exponential functions in mathematical or statistical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.87
    lehem
    -0.83
    gerald
    -0.77
    ubs
    -0.77
    flies
    -0.76
    cham
    -0.76
    akura
    -0.74
    avering
    -0.73
    rol
    -0.72
    hoff
    -0.72
    POSITIVE LOGITS
    ity
    1.37
    ities
    1.28
    ized
    1.24
    ization
    1.22
    izable
    1.12
    izes
    1.09
    izing
    1.02
    ITY
    0.98
    ize
    0.93
    izations
    0.93
    Activations Density 0.067%

    No Known Activations