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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. 13515
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    Explanations

    phrases related to tasks or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to responses, jobs, or tasks related to a situation or context

    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
    warts
    -0.71
    Ĥİ
    -0.71
     Digest
    -0.69
    Az
    -0.68
    riott
    -0.68
    bian
    -0.63
    icio
    -0.63
    die
    -0.63
    imaru
    -0.62
    WAYS
    -0.62
    POSITIVE LOGITS
     lined
    1.11
     ready
    1.10
     nailed
    0.86
     planned
    0.85
     handy
    0.85
     underway
    0.82
     unfinished
    0.80
     plan
    0.78
     plans
    0.77
     backlog
    0.77
    Activations Density 0.341%

    No Known Activations