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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. 9-RES-JB
    11. 23703
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    Explanations

    terms related to information or specific data

    oai_token-act-pair · gpt-3.5-turbo

    segments that indicate data entries or references from a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.73
     Sapphire
    -0.68
    \\\\\\\\
    -0.68
    âķIJâķIJ
    -0.66
     Blitz
    -0.64
     Boll
    -0.64
     Weir
    -0.64
    furt
    -0.63
     Rae
    -0.63
     Canary
    -0.63
    POSITIVE LOGITS
    lamm
    1.29
    inity
    1.23
    rared
    1.23
    rastructure
    1.22
    iltration
    1.21
    luence
    1.19
    idelity
    1.19
    amous
    1.17
    ractions
    1.16
    erno
    1.15
    Activations Density 0.020%

    No Known Activations