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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. 9-RES-JB
    11. 2510
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    Explanations

    words related to negative emotions or sentiments, especially related to self-esteem and mental health

    oai_token-act-pair · gpt-3.5-turbo
    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
    Secondly
    -0.69
     learnt
    -0.67
     realise
    -0.66
     analyse
    -0.64
     Whilst
    -0.61
    ilateral
    -0.61
    theless
    -0.61
    ugu
    -0.60
     Secondly
    -0.60
    oubted
    -0.58
    POSITIVE LOGITS
     —
    0.78
    Enlarge
    0.75
    —"
    0.75
     âĢķ
    0.72
    —
    0.72
     ÂŃ
    0.70
     --
    0.69
     cybersecurity
    0.66
    PHOTOS
    0.58
    .?
    0.57
    Activations Density 1.582%

    No Known Activations