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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15557
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    Explanations

    statements expressing feelings or opinions, often with words like "happy", "disappointing", and "pleased"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotions and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¯ãĥ³
    -0.77
    apeshifter
    -0.74
    definition
    -0.73
    spec
    -0.71
    æŃ¦
    -0.66
    ixt
    -0.66
    esm
    -0.66
     arsen
    -0.65
    defined
    -0.64
    illac
    -0.64
    POSITIVE LOGITS
     glad
    1.44
     thankful
    1.39
     thanking
    1.31
     applaud
    1.29
     congratulate
    1.27
     pity
    1.27
     hope
    1.25
     rejoice
    1.24
     grateful
    1.24
     hopeful
    1.22
    Activations Density 0.720%

    No Known Activations