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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. 6-RES-JB
    11. 17794
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    Explanations

    words related to motivation, energy, and empowerment

    oai_token-act-pair · gpt-3.5-turbo

    words and suffixes related to motivation and energy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abases
    -0.68
    fish
    -0.65
    çĦ
    -0.64
    ared
    -0.64
    ãģı
    -0.61
    imil
    -0.61
     unrecogn
    -0.60
     Tsukuyomi
    -0.60
    bang
    -0.60
    apixel
    -0.59
    POSITIVE LOGITS
    aukee
    0.80
     Pwr
    0.70
    axis
    0.69
    ollower
    0.66
    utic
    0.66
    hement
    0.65
    giving
    0.64
    Tea
    0.63
    ment
    0.63
    aline
    0.63
    Activations Density 0.211%

    No Known Activations