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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. 2-RES-JB
    11. 15955
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    Explanations

    proper names of individuals, likely focusing on last names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.97
    ãĥ¯ãĥ³
    -0.82
    ngth
    -0.81
    anwhile
    -0.81
    pmwiki
    -0.76
     Leban
    -0.75
     compr
    -0.69
     eleph
    -0.68
    ãĤ¨ãĥ«
    -0.64
     tune
    -0.63
    POSITIVE LOGITS
     Wid
    1.21
    gets
    1.10
    ening
    1.07
    ows
    1.05
    ens
    1.01
    ened
    0.93
    owed
    0.86
    nes
    0.82
    oug
    0.82
    ener
    0.81
    Activations Density 0.010%

    No Known Activations