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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. 3-RES-JB
    11. 11300
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    Explanations

    words related to temperature or emotional temperament

    oai_token-act-pair · gpt-3.5-turbo

    words related to temperature and temperamental traits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.71
    gom
    -0.65
    rd
    -0.64
     Sisters
    -0.64
    location
    -0.64
     NX
    -0.63
    ÅĤ
    -0.63
     HHS
    -0.62
     Lans
    -0.62
    NetMessage
    -0.62
    POSITIVE LOGITS
     tant
    1.26
    amental
    1.14
     temper
    1.03
    aments
    1.02
     Temper
    0.98
    mental
    0.87
    pit
    0.86
    atures
    0.84
    ance
    0.80
     tempered
    0.79
    Activations Density 0.012%

    No Known Activations