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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. 4-RES-JB
    11. 4623
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    Explanations

    words related to introducing or bringing in something new or external

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "bringing in" as it relates to contributions or investments

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

    No Comments

    Negative Logits
     Winc
    -0.73
    BILITY
    -0.66
    =]
    -0.63
     Verse
    -0.63
    ĪĴ
    -0.63
     Naked
    -0.62
     Alic
    -0.62
    Alert
    -0.62
    inski
    -0.62
    issy
    -0.61
    POSITIVE LOGITS
    andise
    0.89
    unity
    0.84
    rir
    0.79
    ochond
    0.76
    erous
    0.76
    dL
    0.75
    MpServer
    0.74
    ificant
    0.72
    awed
    0.71
    resses
    0.71
    Activations Density 0.055%

    No Known Activations