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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. 7-RES-JB
    11. 10936
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    Explanations

    phrases related to relationships between entities or individual actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate relationships or connections between various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quiet
    -0.73
    LOCK
    -0.71
    ENSE
    -0.69
    iability
    -0.66
    GET
    -0.64
    Blocks
    -0.63
    yet
    -0.62
    Serv
    -0.62
    Lock
    -0.59
    ettel
    -0.59
    POSITIVE LOGITS
     thereof
    1.02
     others
    1.01
     attendant
    0.98
     associated
    0.96
     surrounding
    0.96
     subsequent
    0.95
    ĪĴ
    0.91
     adjoining
    0.89
     thereto
    0.89
     ensuing
    0.89
    Activations Density 0.670%

    No Known Activations