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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. 8-RES-JB
    11. 11461
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    INDEX
    Explanations

    phrases related to strong emotions or personal interests

    oai_token-act-pair · gpt-3.5-turbo

    references to strong feelings of enthusiasm or dedication towards various interests or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pta
    -0.88
    ãĥĥãĥī
    -0.82
    rooms
    -0.79
    eor
    -0.78
    å¸
    -0.78
     Sachs
    -0.70
    avis
    -0.66
    ãĤ¤ãĥĪ
    -0.65
    graded
    -0.63
    ãĤ¨ãĥ«
    -0.60
    POSITIVE LOGITS
    atical
    1.01
     passionately
    0.96
     passion
    0.91
    uality
    0.84
     passionate
    0.80
    uous
    0.79
    bike
    0.79
    ful
    0.79
    lessly
    0.78
    ately
    0.77
    Activations Density 0.050%

    No Known Activations