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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. 1-RES-JB
    11. 22146
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    Explanations

    words related to the overall mood or attitude of the text

    oai_token-act-pair · gpt-3.5-turbo

    words related to mood or emotional atmosphere

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.96
    irl
    -0.75
    laws
    -0.74
    unes
    -0.71
    ËĪ
    -0.71
    IED
    -0.70
    joining
    -0.69
    mir
    -0.69
    irk
    -0.68
    uka
    -0.68
    POSITIVE LOGITS
     tone
    1.42
     Tone
    1.19
    tone
    1.05
     tones
    1.01
     deaf
    1.00
     guiActiveUn
    0.85
     assurance
    0.83
     tune
    0.78
     sensitivity
    0.75
     response
    0.75
    Activations Density 0.006%

    No Known Activations