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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. 16327
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    INDEX
    Explanations

    phrases related to importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    positive descriptors and actions related to impactful or significant experiences

    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
    eni
    -0.64
     fortnight
    -0.59
    pes
    -0.58
    hene
    -0.57
    ESE
    -0.56
    geon
    -0.56
     KR
    -0.54
    EXP
    -0.54
    elight
    -0.54
     FANT
    -0.53
    POSITIVE LOGITS
    that
    1.51
     that
    1.41
    That
    1.33
     That
    1.32
     THAT
    1.25
     thats
    0.96
    Those
    0.80
     those
    0.74
     Those
    0.74
    ãĤ¤ãĥĪ
    0.72
    Activations Density 0.225%

    No Known Activations