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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. 7-RES-JB
    11. 300
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    Explanations

    phrases related to conveying messages or signals to various audiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sending messages or signals to various groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abases
    -0.78
    buck
    -0.71
    ossier
    -0.67
    hap
    -0.67
    igree
    -0.65
    lux
    -0.64
    ourced
    -0.62
     rack
    -0.60
     largeDownload
    -0.60
    plex
    -0.60
    POSITIVE LOGITS
     caution
    0.83
     beware
    0.82
     //[
    0.71
     Recomm
    0.66
    arers
    0.66
     instruct
    0.65
    è¦ļéĨĴ
    0.65
    inki
    0.63
     deterrence
    0.63
     youngsters
    0.63
    Activations Density 0.253%

    No Known Activations