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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. 10-RES-JB
    11. 12066
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAW
    -0.69
    RAG
    -0.69
    =-=-
    -0.67
    omething
    -0.63
    ür
    -0.61
    ilk
    -0.61
    ĸļ
    -0.60
    alon
    -0.59
    agher
    -0.59
     diplom
    -0.58
    POSITIVE LOGITS
    izing
    1.30
    ization
    1.29
    izations
    1.27
    isation
    1.24
    ized
    1.22
    isations
    1.22
    ity
    1.20
    izers
    1.19
    ised
    1.17
    izer
    1.12
    Activations Density 0.027%

    No Known Activations