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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. 10359
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    Explanations

    phrases related to technical specifications or considerations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference being "in-depth" or detailed analysis

    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
     Independent
    -0.67
     McKenna
    -0.66
     Reloaded
    -0.66
     Sorce
    -0.65
     Zup
    -0.65
     Bullets
    -0.62
    Ń·
    -0.61
    illac
    -0.61
    âĢ¢âĢ¢
    -0.61
     charms
    -0.59
    POSITIVE LOGITS
    depth
    1.50
    between
    1.19
    built
    1.19
    house
    1.18
    demand
    1.18
    flight
    1.15
    browser
    1.14
    progress
    1.12
    laws
    1.11
    line
    1.09
    Activations Density 0.019%

    No Known Activations