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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. 6-RES-JB
    11. 14645
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    Explanations

    phrases emphasizing importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance or importance of a point being made

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.68
    iken
    -0.64
    ebin
    -0.64
    igers
    -0.63
    udic
    -0.62
    haven
    -0.62
     Cla
    -0.59
    uld
    -0.59
    urch
    -0.59
    ijing
    -0.57
    POSITIVE LOGITS
     importantly
    1.02
    Ħ¢
    0.83
    姫
    0.82
    zb
    0.80
     secondly
    0.78
    ï¸ı
    0.72
     prest
    0.69
    NESS
    0.66
     resides
    0.65
     relates
    0.65
    Activations Density 0.044%

    No Known Activations