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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. 9-RES-JB
    6. 2949
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    Explanations

    phrases related to investigative activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to deep involvement or engagement in various contexts

    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
    SPONSORED
    -0.79
    º
    -0.79
    £
    -0.77
    Split
    -0.76
    encia
    -0.71
    cut
    -0.68
    Course
    -0.68
    Therefore
    -0.68
    Flash
    -0.67
    Specific
    -0.66
    POSITIVE LOGITS
     throats
    0.87
     riches
    0.85
     champagne
    0.84
     necks
    0.82
     heels
    0.80
     elbows
    0.78
     booze
    0.78
     scraps
    0.76
     veggies
    0.75
     feathers
    0.74
    Activations Density 0.873%

    No Known Activations