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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. 1312
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    Explanations

    phrases related to upcoming events or scheduled appearances

    oai_token-act-pair · gpt-3.5-turbo

    the verb "be" in various forms and 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
     Oops
    -0.74
     comprehension
    -0.68
    rehens
    -0.65
     assurance
    -0.64
    emonic
    -0.64
     theorem
    -0.64
    76561
    -0.63
    arta
    -0.63
     promise
    -0.63
     imagination
    -0.63
    POSITIVE LOGITS
     able
    0.94
    ige
    0.94
    heading
    0.93
     replaced
    0.90
     joining
    0.85
    AMS
    0.82
     rewarded
    0.82
     honored
    0.82
     featured
    0.82
     honoured
    0.78
    Activations Density 0.130%

    No Known Activations