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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. 4842
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    INDEX
    Explanations

    expressions of opinions or sentiments from individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional responses or sentiments

    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
     Logged
    -0.69
     Rout
    -0.67
     Marshal
    -0.61
     Gutenberg
    -0.61
    icle
    -0.61
    acles
    -0.60
     datas
    -0.59
     Carrier
    -0.59
    ammy
    -0.58
     Advertisement
    -0.57
    POSITIVE LOGITS
     admiration
    1.49
     dislike
    1.44
     displeasure
    1.41
     sympath
    1.41
     disapproval
    1.33
     sympathy
    1.31
     disgust
    1.31
     liking
    1.30
     disappro
    1.27
     disdain
    1.26
    Activations Density 1.633%

    No Known Activations