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    1. Home
    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. 9662
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    Explanations

    phrases related to actions, procedures or tasks being performed

    oai_token-act-pair · gpt-3.5-turbo

    sentences ending in punctuation marks

    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
     affili
    -0.90
     outwe
    -0.76
     deserved
    -0.72
     citiz
    -0.70
     obsolete
    -0.70
     condol
    -0.70
     preferring
    -0.69
     outdated
    -0.68
     deprecated
    -0.67
     grievance
    -0.67
    POSITIVE LOGITS
     Afterwards
    1.78
     Then
    1.71
     Eventually
    1.70
     Once
    1.49
     Finally
    1.47
     Alternatively
    1.39
     Depending
    1.39
     Repeat
    1.38
     Occasionally
    1.36
     Each
    1.35
    Activations Density 0.479%

    No Known Activations