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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. 7246
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    INDEX
    Explanations

    phrases related to actions or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    idiomatic expressions and phrases related to effort and challenges

    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
    href
    -0.73
    rity
    -0.65
    mand
    -0.64
    alach
    -0.62
    ment
    -0.57
    assian
    -0.56
    point
    -0.54
    erm
    -0.54
    ragon
    -0.54
    vana
    -0.53
    POSITIVE LOGITS
     proverbial
    0.60
     DL
    0.60
     sling
    0.57
     sleeves
    0.56
     ducks
    0.54
     Rai
    0.52
     redes
    0.51
    Paper
    0.51
     Faw
    0.51
     Dove
    0.50
    Activations Density 0.278%

    No Known Activations