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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21234
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    Explanations

    phrases related to criticism or negative evaluation of individuals or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate an additive or cumulative quality in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.00
    utor
    -0.80
    neath
    -0.74
    imester
    -0.72
    ãĥĥãĥĪ
    -0.71
    eret
    -0.69
    imens
    -0.69
    lux
    -0.68
    NER
    -0.67
    DX
    -0.67
    POSITIVE LOGITS
     vowed
    1.45
     urged
    1.43
     praised
    1.37
     congratulated
    1.29
     thanked
    1.28
     insisted
    1.27
     likened
    1.27
     blamed
    1.26
     warned
    1.26
     reiterated
    1.22
    Activations Density 0.267%

    No Known Activations