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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. 19652
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    Explanations

    terms related to control and influence

    oai_token-act-pair · gpt-3.5-turbo

    contextual phrases indicating significant actions or conditions

    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
    DonaldTrump
    -0.59
    ajo
    -0.57
    ortium
    -0.53
    adelphia
    -0.53
    trak
    -0.51
     Serie
    -0.50
    ippi
    -0.50
    unity
    -0.49
    MSN
    -0.49
    ocene
    -0.49
    POSITIVE LOGITS
     alike
    1.08
     consequently
    0.74
     thereof
    0.74
     versa
    0.67
     accordingly
    0.67
     consequ
    0.64
     thereto
    0.62
     importantly
    0.61
     therein
    0.61
     thereafter
    0.58
    Activations Density 1.310%

    No Known Activations