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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. 9-RES-JB
    11. 19934
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    Explanations

    phrases related to technical problems or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to technical problems and challenges encountered

    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
    robe
    -0.69
     wink
    -0.66
    ajo
    -0.65
     Feast
    -0.65
    prints
    -0.65
    writ
    -0.65
     Rolls
    -0.62
     nods
    -0.62
     Dollars
    -0.62
     decorated
    -0.61
    POSITIVE LOGITS
     arise
    1.25
     arising
    1.17
     plague
    1.17
     plag
    1.13
     encountered
    1.04
     exacerbated
    1.03
     incurred
    1.01
     faced
    1.01
     encount
    0.96
     arisen
    0.96
    Activations Density 0.463%

    No Known Activations