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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. 10026
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    Explanations

    names of locations or establishments

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places or entities

    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
     Sina
    -0.66
     leftover
    -0.64
    é¾įå¥ij士
    -0.63
     altogether
    -0.63
     Nielsen
    -0.62
    #$#$
    -0.62
    ÙIJ
    -0.61
     Carnegie
    -0.61
     overtime
    -0.59
     Bethesda
    -0.59
    POSITIVE LOGITS
    uctions
    1.11
    ifles
    1.11
    eworks
    1.02
    ifts
    1.01
    istries
    0.98
    Ħ¢
    0.92
    iffs
    0.91
    astery
    0.90
    actor
    0.89
    onics
    0.88
    Activations Density 0.251%

    No Known Activations