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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. 7-RES-JB
    11. 3950
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    Explanations

    phrases emphasizing importance or key concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases highlighting the importance of key concepts and ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     carts
    -0.75
     mouths
    -0.74
    hin
    -0.72
    ufact
    -0.72
    sov
    -0.71
    amera
    -0.71
    ixel
    -0.71
    ricanes
    -0.70
    selage
    -0.70
     ABE
    -0.69
    POSITIVE LOGITS
    eness
    0.89
    fulness
    0.82
     judgement
    0.79
     humility
    0.79
    lihood
    0.78
     righteousness
    0.76
     emptiness
    0.75
     judgment
    0.74
    terness
    0.73
    rity
    0.71
    Activations Density 0.554%

    No Known Activations