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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. 10-RES-JB
    11. 21730
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    Explanations

    phrases related to actions or events as part of a larger plan or project

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the role or function of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itiveness
    -0.88
    ople
    -0.84
    uca
    -0.77
    alog
    -0.72
    irin
    -0.69
    oller
    -0.69
    ivas
    -0.64
    iris
    -0.63
    racuse
    -0.62
    WAYS
    -0.61
    POSITIVE LOGITS
     part
    1.26
     opposed
    1.24
     well
    1.16
     soon
    1.14
    part
    1.02
     punishment
    1.01
     retaliation
    1.01
     retribution
    0.99
    phy
    0.95
    pired
    0.95
    Activations Density 0.129%

    No Known Activations