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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. 4-RES-JB
    11. 1576
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    Explanations

    phrases or terms related to a process of implementation or launch

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to the concept of "rolling out" or launching something

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

    No Comments

    Negative Logits
    bub
    -0.83
    ãĥ¤
    -0.79
     Kut
    -0.72
    acters
    -0.71
    ãĤ»
    -0.70
    xual
    -0.70
    iour
    -0.69
    é¾įå
    -0.67
    bour
    -0.65
    ologists
    -0.64
    POSITIVE LOGITS
     downhill
    0.89
     rolling
    0.83
     rolled
    0.78
     roll
    0.77
    roll
    0.74
    hurst
    0.73
    sheet
    0.73
    back
    0.73
    ength
    0.72
    arious
    0.72
    Activations Density 0.009%

    No Known Activations