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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. 5785
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    Explanations

    phrases related to the act of interpreting or the interpretation of different concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of interpretation

    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
    ccoli
    -0.77
     Indust
    -0.75
     Empires
    -0.70
    vertisement
    -0.66
    pring
    -0.66
    emetery
    -0.65
    hart
    -0.65
    gard
    -0.64
    trap
    -0.64
    elight
    -0.64
    POSITIVE LOGITS
     Interpret
    1.12
     interpret
    1.06
     interpretation
    1.05
     interpreting
    1.03
     interpretations
    0.99
     meanings
    0.95
     interpre
    0.93
    interpret
    0.88
     aloud
    0.86
     Meaning
    0.86
    Activations Density 0.064%

    No Known Activations