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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. 23526
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    Explanations

    proper nouns starting with "Gr" followed by a number (likely referencing a grade or level)

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific named entities or proper nouns in the text

    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
    eers
    -0.77
    ĸļ
    -0.64
    manship
    -0.64
     Lei
    -0.64
     shortened
    -0.64
     writ
    -0.64
     quo
    -0.63
     Ars
    -0.60
     Mith
    -0.59
    ezvous
    -0.58
    POSITIVE LOGITS
    anny
    1.26
    iffin
    1.25
    udge
    1.24
    umpy
    1.22
    ayson
    1.17
    ains
    1.14
    aced
    1.14
    itty
    1.12
    asp
    1.10
    anted
    1.09
    Activations Density 0.029%

    No Known Activations